CN113467739B - An image processing method, device, electronic equipment and storage medium - Google Patents

Abstract

The embodiment of the invention provides an image processing method, an image processing device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring an image to be displayed and target display state information of a display screen, wherein the target display state information comprises environment light intensity and/or temperature; determining a target gray threshold based on the target display state information and a pre-established corresponding relation between the display state information and the gray threshold; determining a target compensation coefficient based on the target display state information and a corresponding relation between the display state information and the compensation coefficient, which is established in advance; and determining a target gray level value according to the target compensation coefficient, the target gray level threshold value and the original gray level value of the image to be displayed, and adjusting the gray level value of the image to be displayed according to the target gray level value. The compensation coefficient marks the gray level value to be compensated under different display state information, and the gray level value is adjusted according to the target gray level value, so that the image to be displayed can be adjusted to a proper gray level value, and the display picture effect of the display screen is improved.

Description

An image processing method, device, electronic equipment and storage medium

Technical field

The present invention relates to the technical field of image display control, and in particular to an image processing method, device, electronic equipment and storage medium.

Background technique

At present, various display screens are used more and more widely. The display effect of the display screen will be affected by the ambient light intensity and/or temperature. When used in an outdoor environment, the strong ambient light may cause the problem of being unable to clearly view the display screen.

Temperature will also seriously affect the display effect of the display screen. For example, the characteristics of TFT (thin-film transistor, thin-film transistor) are greatly affected by the ambient temperature. In a low-temperature environment, the driving capability of TFT is insufficient, and the current that the TFT itself can provide on the display becomes smaller. The mobility of Oxide transistors increases as the temperature increases, the conduction current becomes larger, and the leakage current also increases.

LED (Light Emitting Diode, light-emitting diode) displays are extremely sensitive to temperature. Increased temperature will affect LED light efficiency, light wavelength, color temperature, forward voltage, maximum injection current, etc. Therefore, a method that can improve the display effect of the display screen is needed.

Contents of the invention

The purpose of embodiments of the present invention is to provide an image processing method, device, electronic equipment and storage medium to improve the display effect of the display screen. The specific technical solutions are as follows:

In a first aspect, an embodiment of the present invention provides an image processing method, which method includes:

Obtain the image to be displayed and the target display status information of the display screen used to display the image to be displayed, wherein the target display status information includes the ambient light intensity of the environment in which the display screen is located and/or the brightness of the display screen. temperature;

Determine the target grayscale threshold corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the grayscale threshold;

Based on the target display status information and the pre-established correspondence relationship between the display status information and the compensation coefficient, the target compensation coefficient corresponding to the target display status information is determined, wherein the compensation coefficient is used to identify where each grayscale value is The corresponding grayscale values required for compensation under different display status information;

According to the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed, the target grayscale value is determined, and the grayscale value of the image to be displayed is adjusted according to the target grayscale value. .

Optionally, the step of obtaining the image to be displayed and the target display status information of the display screen used to display the image to be displayed includes:

Obtain the target display status information and the image to be displayed corresponding to the display screen partition, where the display screen partition is an area obtained by dividing the display screen for displaying the image to be displayed in advance;

The step of adjusting the grayscale value of the image to be displayed according to the target grayscale value includes:

Integrate the target grayscale values corresponding to each display screen partition into grayscale data corresponding to the image to be displayed according to the positional relationship of each display screen partition;

The grayscale value of the image to be displayed is adjusted according to the grayscale data.

Optionally, the step of obtaining the target display status information corresponding to the display screen partition includes:

Obtain the target display status information corresponding to the target partition included in the display screen partition, wherein the display screen partition also includes a transition partition;

The step of determining the target grayscale value based on the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed includes:

For each target partition, determine the target gray value corresponding to the target partition according to the target compensation coefficient, the target grayscale threshold corresponding to the target partition, and the original grayscale value in the image to be displayed corresponding to the target partition. ;

For each transition partition, the target gray value corresponding to the transition partition is calculated based on the target gray value corresponding to the target partition adjacent to the transition partition.

Optionally, the target display status information includes the ambient light intensity of the environment where the display screen is located and the temperature of the display screen;

The step of determining the target grayscale threshold corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the grayscale threshold includes:

Based on the ambient light intensity and the pre-established correspondence between the light intensity and the gray threshold, determine the first target gray threshold; based on the temperature and the pre-established correspondence between the temperature and the gray threshold, determine Second target grayscale threshold;

The step of determining the target compensation coefficient corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the compensation coefficient includes:

Based on the ambient light intensity and the pre-established correspondence between the light intensity and the compensation coefficient, the first target compensation coefficient is determined; based on the temperature and the pre-established correspondence between the temperature and the compensation coefficient, the second target is determined Compensation coefficient;

The step of determining the target grayscale value based on the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed includes:

According to the first target compensation coefficient, the first target gray threshold, the second target compensation coefficient, the second target gray threshold and the original gray value of the image to be displayed, the to-be-displayed image is determined. Displays the target grayscale value of the image.

Optionally, the method is based on the first target compensation coefficient, the first target grayscale threshold, the second target compensation coefficient, the second target grayscale threshold and the original grayscale of the image to be displayed. value, the step of determining the target grayscale value of the image to be displayed includes:

Determine a first target grayscale value according to the first target compensation coefficient, the first target grayscale threshold and the original grayscale value of the image to be displayed;

Determine a second target grayscale value according to the second target compensation coefficient, the second target grayscale threshold and the original grayscale value of the image to be displayed;

Based on the first target gray value and the second target gray value, the target gray value of the pixel in the image to be displayed is determined according to a preset calculation method.

Optionally, the method is based on the first target compensation coefficient, the first target grayscale threshold, the second target compensation coefficient, the second target grayscale threshold and the original grayscale of the image to be displayed. value, the step of determining the target grayscale value of the image to be displayed includes:

According to the size relationship between the original gray value of the pixel in the image to be displayed and the first target gray threshold and the second target gray threshold, determine the first type of pixels and the second type of pixels. , the third type of pixels and the fourth type of pixels, wherein the first type of pixels are pixels that only need ambient light compensation, and the second type of pixels are pixels that only need temperature compensation, The third type of pixels are pixels that require both ambient light compensation and temperature compensation, and the fourth type of pixels are pixels that do not require compensation;

For the first type of pixel, determine the target gray value of the first type of pixel based on the original gray value of the first type of pixel and its corresponding first target compensation coefficient;

For the second type of pixel, determine the target gray value of the second type of pixel based on the original gray value of the second type of pixel and its corresponding second target compensation coefficient;

For the third type of pixel, determine the target gray value of the third type of pixel based on the original gray value of the third type of pixel and its corresponding first target compensation coefficient and second target compensation coefficient. ;

For the fourth type of pixel point, the original gray value of the fourth type pixel point is determined as its corresponding target gray value.

Optionally, the display screen is provided with an optical sensor and/or a temperature sensor;

The step of obtaining the image to be displayed and the target display status information of the display screen used to display the image to be displayed includes:

Obtain the image to be displayed and the ambient light intensity of the environment where the display screen is located collected by the optical sensor and/or the temperature of the display screen collected by the temperature sensor.

In a second aspect, an embodiment of the present invention provides an image processing device, which includes:

A state information acquisition module, configured to obtain the image to be displayed and the target display state information of the display screen used to display the image to be displayed, wherein the target display state information includes the ambient light intensity and the ambient light intensity of the environment in which the display screen is located. /or the temperature of the display screen;

A grayscale threshold determination module, configured to determine the target grayscale threshold corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the grayscale threshold;

A compensation coefficient determination module, configured to determine the target compensation coefficient corresponding to the target display state information based on the target display state information and the pre-established correspondence relationship between the display state information and the compensation coefficient, wherein the compensation coefficient is To identify the required compensated gray value corresponding to each gray value under different display status information;

A grayscale adjustment module, configured to determine a target grayscale value according to the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed, and adjust the target grayscale value according to the target grayscale value. Display image for grayscale adjustment.

Optionally, the status information acquisition module includes:

a partition information acquisition unit, used to obtain the target display status information corresponding to the display screen partition and the image to be displayed, wherein the display screen partition is an area obtained by dividing the display screen used to display the image to be displayed in advance;

The grayscale adjustment module includes:

An integration unit configured to integrate the target grayscale values corresponding to each display screen partition into grayscale data corresponding to the image to be displayed according to the positional relationship of each display screen partition;

An adjustment unit, configured to adjust the grayscale value of the image to be displayed according to the grayscale data.

Optionally, the partition information acquisition unit includes:

The partition information acquisition subunit is used to obtain the target display status information corresponding to the target partition included in the display screen partition, wherein the display screen partition also includes a transition partition;

The grayscale adjustment module includes:

A first grayscale value determination unit configured to determine, for each target partition, the target compensation coefficient corresponding to the target partition, the target grayscale threshold, and the original grayscale value in the image to be displayed corresponding to the target partition, Determine the target gray value corresponding to the target partition;

The second gray value determination unit is configured to calculate, for each transition partition, the target gray value corresponding to the transition partition based on the target gray value corresponding to the target partition adjacent to the transition partition.

Optionally, the target display status information includes the ambient light intensity of the environment where the display screen is located and the temperature of the display screen;

The gray threshold determination module includes:

A threshold determination unit configured to determine a first target gray threshold based on the ambient light intensity and a pre-established correspondence between the light intensity and the gray threshold; based on the temperature and the pre-established relationship between the temperature and the gray threshold. Correspondence between, determine the second target grayscale threshold;

The compensation coefficient determination module includes:

A compensation coefficient determination unit configured to determine a first target compensation coefficient based on the ambient light intensity and a pre-established correspondence between the light intensity and the compensation coefficient; based on the temperature and the pre-established relationship between the temperature and the compensation coefficient. Corresponding relationship, determine the second target compensation coefficient;

The grayscale adjustment module includes:

A grayscale value determination unit configured to determine the original value of the image to be displayed based on the first target compensation coefficient, the first target grayscale threshold, the second target compensation coefficient, the second target grayscale threshold, and the original value of the image to be displayed. Grayscale value, determine the target grayscale value of the image to be displayed.

Optionally, the gray value determination unit includes:

A first grayscale determination subunit configured to determine a first target grayscale value based on the first target compensation coefficient, the first target grayscale threshold, and the original grayscale value of the image to be displayed;

A second grayscale determination subunit, configured to determine a second target grayscale value based on the second target compensation coefficient, the second target grayscale threshold, and the original grayscale value of the image to be displayed;

The third grayscale determination subunit is configured to determine the target grayscale value of the pixel in the image to be displayed based on the first target grayscale value and the second target grayscale value according to a preset calculation method.

Optionally, the gray value determination unit includes:

Pixel classification subunit, used to determine the first category based on the size relationship between the original gray value of the pixel in the image to be displayed and the first target gray threshold and the second target gray threshold. pixels, second type pixels, third type pixels and fourth type pixels, where the first type of pixels are pixels that only require ambient light compensation, and the second type of pixels are only pixels that require ambient light compensation. Pixels that require temperature compensation, the third type of pixels are pixels that require both ambient light compensation and temperature compensation, and the fourth type of pixels are pixels that do not require compensation;

The first type of grayscale determination subunit is used for determining the first type of pixel point based on the original grayscale value of the first type of pixel point and its corresponding first target compensation coefficient. Target gray value;

The second type of grayscale determination subunit is used for determining the second type of pixels based on the original grayscale value of the second type of pixels and its corresponding second target compensation coefficient for the second type of pixels. Target gray value;

The third type of grayscale determination subunit is configured to determine, for the third type of pixel point, the original grayscale value of the third type of pixel point and its corresponding first target compensation coefficient and second target compensation coefficient. Describe the target grayscale value of the third type of pixel;

The fourth type of grayscale determination subunit is used to determine the original grayscale value of the fourth type of pixel point as its corresponding target grayscale value for the fourth type of pixel point.

Optionally, the display screen is provided with an optical sensor and/or a temperature sensor;

The status information acquisition module includes:

A status information acquisition unit is configured to acquire the image to be displayed and the ambient light intensity of the environment where the display screen is located collected by the optical sensor and/or the temperature of the display screen collected by the temperature sensor.

In a third aspect, embodiments of the present invention provide an electronic device, including a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete communication with each other through the communication bus;

Memory, used to store computer programs;

The processor is used to implement any of the method steps described in the first aspect when executing a program stored in the memory.

In a fourth aspect, embodiments of the present invention provide a computer-readable storage medium. A computer program is stored in the computer-readable storage medium. When the computer program is executed by a processor, any of the methods described in the first aspect are implemented. Method steps.

Beneficial effects of the embodiments of the present invention:

In the solution provided by the embodiment of the present invention, the processor can obtain the image to be displayed and the target display status information of the display screen used to display the image to be displayed, where the target display status information includes the ambient light intensity and/or the ambient light intensity of the environment in which the display screen is located. Or the temperature of the display screen, based on the target display status information and the corresponding relationship between the pre-established display status information and the gray scale threshold, determine the target gray scale threshold corresponding to the target display status information, based on the target display status information and the pre-established display The corresponding relationship between the status information and the compensation coefficient determines the target compensation coefficient corresponding to the target display status information, where the compensation coefficient is used to identify the required compensated grayscale value corresponding to each grayscale value under different display status information, Then, according to the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed, the target grayscale value is determined, and the grayscale value of the image to be displayed is adjusted according to the target grayscale value. Since the compensation coefficient can identify the gray value that needs to be compensated for each gray value under different display state information, the target gray threshold determined based on the pre-established correspondence between the display state information and the gray threshold can be Accurately identify the corresponding gray value of each gray value that needs to be compensated under the target display status information. Then, the electronic device determines the target gray value based on the target compensation coefficient, and performs the gray value of the image to be displayed according to the target gray value. Adjustment can adjust the grayscale value of the image to be displayed to an appropriate value, weaken the impact of ambient light intensity and/or the temperature of the display screen on the display screen, thereby improving the display effect of the display screen.

Description of the drawings

In order to explain the embodiments of the present invention or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are only These are some embodiments of the present invention. For those of ordinary skill in the art, other embodiments can be obtained based on these drawings without exerting creative efforts.

Figure 1 is a first structural schematic diagram of an electronic device to which the image processing method provided by an embodiment of the invention is applied;

Figure 2 is a second structural schematic diagram of an electronic device to which the image processing method provided by the embodiment of the invention is applied;

Figure 3 is a flow chart of an image processing method provided by an embodiment of the invention;

Figure 4 is a schematic diagram of a display screen division method based on the embodiment shown in Figure 3;

Figure 5 is a first flow chart of a method for determining a target grayscale value based on the embodiment shown in Figure 3;

Figure 6 is a second flow chart of a method for determining a target grayscale value based on the embodiment shown in Figure 3;

Figure 7(a) is a first schematic diagram of a display screen based on the embodiment shown in Figure 3;

Figure 7(b) is a second schematic diagram of the display screen based on the embodiment shown in Figure 3;

Figure 7(c) is a third schematic diagram of a display screen based on the embodiment shown in Figure 3;

Figure 8 is a schematic structural diagram of an image processing device provided by an embodiment of the invention;

Figure 9 is a schematic structural diagram of an electronic device provided by an embodiment of the invention.

Detailed ways

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts fall within the scope of protection of the present invention.

In order to reduce the influence of ambient light intensity and/or the temperature of the display screen on the display screen and improve the display effect of the display screen, embodiments of the present invention provide an image processing method, device, electronic equipment, computer-readable storage medium and computer Program Products.

An image processing method provided by an embodiment of the present invention is first introduced below. An image processing method provided by an embodiment of the present invention can be applied to processors, controllers, processing chips, etc. used to control display screens in electronic devices. This is not specifically limited here. For clarity of description, it is hereinafter referred to as a processor. . The electronic device can be a flexible LED display, a Mini LED display, etc., and is not specifically limited here.

In order to facilitate understanding of the image processing method provided by the embodiment of the present invention, the following is an example of the structure of the first electronic device to which the image processing method provided by the embodiment of the present invention can be applied. As shown in Figure 1, the electronic device may include an MCU (Micro Control Unit) 101, an FPGA (Field Programmable Gate Array) board 102, a display screen 103, and a PMIC (Power Management IC). Integrated circuit) 104, power supply 105, video module 106, WIFI (Wireless Fidelity, wireless Internet)/Bluetooth module 107, button 108, UART (Universal Asynchronous Receiver/Transmitter, Universal Asynchronous Receiver/Transmitter) serial port 109, etc.

Among them, the display screen 103 is electrically connected to the FPGA board 102 and the PMIC 104 respectively, the power supply 105 is electrically connected to the PMIC 104, and the FPGA board 102, PMIC 104, video module 106, WIFI/Bluetooth module 107, and button 108 are electrically connected to the MCU 101 respectively. UART serial port 109 can be used to receive device debugging data, etc. The image processing method provided by the embodiment of the present invention can be applied to the MCU 101 to process the image displayed on the display screen 103 and improve the display effect of the display screen 103 .

Figure 2 shows a schematic structural diagram of a second electronic device to which the image processing method provided by the embodiment of the present invention can be applied. The electronic device may include an FPGA/AP (Wireless Access Point, wireless access point) 201 and a display screen 202 , PMIC 203, charging management module 204, power supply 205, WIFI/Bluetooth module 206, button 207, UART serial port 208, etc.

Among them, the display screen 202, the WIFI/Bluetooth module 206 and the button 207 are electrically connected to the FPGA/AP 201 respectively, and the power supply 205, the charging management module 204 and the PMIC 203 are electrically connected in sequence for charging management of the power supply 205. UART serial port 208 can be used to receive device debugging data, etc. The image processing method provided by the embodiment of the present invention can be applied to the FPGA/AP 201 to process the image displayed on the display screen 202 and improve the display effect of the display screen 202 .

As shown in Figure 3, an image processing method includes:

S301. Obtain the image to be displayed and the target display status information of the display screen used to display the image to be displayed;

Wherein, the target display status information includes the ambient light intensity of the environment where the display screen is located and/or the temperature of the display screen.

S302: Determine the target grayscale threshold corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the grayscale threshold;

S303: Determine the target compensation coefficient corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the compensation coefficient;

Wherein, the compensation coefficient is used to identify the gray value corresponding to each gray value that needs to be compensated under different display state information.

S304: Determine the target grayscale value according to the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed, and perform grayscale processing on the image to be displayed according to the target grayscale value. value adjustment.

It can be seen that in the solution provided by the embodiment of the present invention, the processor can obtain the image to be displayed and the target display status information of the display screen used to display the image to be displayed, where the target display status information includes the ambient light intensity of the environment in which the display screen is located. and/or the temperature of the display screen, based on the target display status information and the pre-established correspondence between the display status information and the gray threshold, determine the target gray threshold corresponding to the target display status information, based on the target display status information and the pre-established The corresponding relationship between the display status information and the compensation coefficient is to determine the target compensation coefficient corresponding to the target display status information, where the compensation coefficient is used to identify the required compensated grayscale corresponding to each grayscale value under different display status information. value, and then determine the target gray value according to the target compensation coefficient, the target gray threshold and the original gray value of the image to be displayed, and adjust the gray value of the image to be displayed according to the target gray value. Since the compensation coefficient can identify the gray value that needs to be compensated for each gray value under different display state information, the target gray threshold determined based on the pre-established correspondence between the display state information and the gray threshold can be Accurately identify the corresponding gray value of each gray value that needs to be compensated under the target display status information. Then, the electronic device determines the target gray value based on the target compensation coefficient, and performs the gray value of the image to be displayed according to the target gray value. Adjustment can adjust the grayscale value of the image to be displayed to an appropriate value, weaken the impact of ambient light intensity and/or the temperature of the display screen on the display screen, thereby improving the display effect of the display screen.

When image display is required, the processor can obtain the image to be displayed, and the image to be displayed is the image to be displayed on the display screen. In order to reduce the influence of the ambient light intensity and/or the temperature of the display screen on the image display effect, the processor can obtain the target display status information of the display screen used to display the image to be displayed, where the target display status information can include the display screen The ambient light intensity of the environment or the temperature of the display screen, or may include the ambient light intensity of the environment where the display screen is located and the temperature of the display screen, are not specifically limited here.

In order to facilitate the adjustment of the grayscale value of the image to be displayed, the corresponding relationship between the display status information and the grayscale threshold can be established in advance, where the grayscale threshold can identify the grayscale that needs to be adjusted in the image under different display status information. The threshold value, or the grayscale threshold value that can indicate the change of the image effect displayed on the display screen under different display status information, etc. is not specifically limited here.

In this way, after the processor obtains the above target display status information, it can determine the target grayscale threshold corresponding to the target display status information based on the target display status information and the pre-established correspondence between the display status information and the grayscale threshold. , that is, the above step S302 is executed.

For the situation where the above target display status information only includes ambient light intensity, the above correspondence relationship may be a correspondence relationship between ambient light intensity and grayscale threshold. The processor can find the grayscale threshold corresponding to the ambient light intensity from the corresponding relationship according to the ambient light intensity included in the target display status information, and use it as the target grayscale threshold.

For the case where the target display status information only includes temperature, the corresponding relationship may be a corresponding relationship between temperature and grayscale threshold. The processor can find the grayscale threshold corresponding to the temperature from the corresponding relationship according to the temperature included in the target display status information, and use it as the target grayscale threshold.

In view of the situation that the above target display status information includes both ambient light intensity and temperature, the above correspondence relationship may specifically include two correspondence relationships, namely, the correspondence relationship between the ambient light intensity and the grayscale threshold value, and the correspondence relationship between the temperature and the grayscale threshold value. Correspondence. The processor can determine the corresponding target grayscale threshold according to the ambient light intensity and temperature. For the sake of clarity of the solution, this method will be introduced in detail later.

The above correspondence relationship may also be a correspondence relationship between the overall ambient light intensity and temperature and the grayscale threshold. Then the processor can find the grayscale threshold corresponding to the ambient light intensity and temperature based on the ambient light intensity and temperature included in the target display status information from the corresponding relationship, and use it as the target grayscale threshold, which is also reasonable.

Any of the above correspondences can be recorded in the form of a lookup table. For example, the correspondence between temperature and grayscale threshold can be shown in the following lookup table:

serial number Temperature(℃) Grayscale threshold 1 -40 Ga 2 -39 Gb … … … 101 61 G35 … … … N 80 G

Then, if the temperature of the display screen included in the target display status information obtained by the processor is 60°C, then according to the above lookup table, the processor can determine that the target grayscale threshold is the grayscale threshold corresponding to 60°C, which is G35.

The processor can also pre-establish a corresponding relationship between the display status information and the compensation coefficient, wherein the compensation coefficient can be used to identify the grayscale value that needs to be compensated for each grayscale value under different display status information. This corresponding relationship can be determined in advance based on multiple tests or simulations. During the test or simulation process, it is determined that under different display status information, if you want the display screen to have a good picture effect, the grayscale value compensation coefficient of the original image is required. , that is, the corresponding relationship between the display status information and the compensation coefficient can be obtained.

Then, in the above step S303, the processor can search in the pre-established correspondence between the display status information and the compensation coefficient according to the target display status information, and find the compensation coefficient corresponding to the target display status information, as the target Display the target compensation coefficient corresponding to the status information. The compensation coefficients corresponding to different display status information may be different or the same, and are not specifically limited here.

In one implementation, the pre-established correspondence between the display status information and the compensation coefficient may specifically be: the correspondence between ambient light intensity and the compensation coefficient, and the correspondence between the temperature and the compensation coefficient. In this case, the processor can display the specific content included in the status information, and search in the correspondence between the ambient light intensity and the compensation coefficient and/or the correspondence between the temperature and the compensation coefficient to determine the target display state. The target compensation coefficient corresponding to the information.

In another implementation manner, the pre-established correspondence between the display status information and the compensation coefficient may specifically be: the correspondence between the overall ambient light intensity and temperature and the compensation coefficient. In this case, the processor can display the ambient light intensity and temperature specifically included in the status information, and search in the corresponding relationship to determine the target compensation coefficient corresponding to the target display status information.

The above-mentioned corresponding relationship about the compensation coefficient can also be recorded in the form of a lookup table. For example, the corresponding relationship between the overall ambient light intensity and temperature and the compensation coefficient can be shown in the following lookup table:

Then, if the target display status information obtained by the processor is the ambient light intensity T2 and the temperature is -39°C, then according to the above lookup table, the processor can determine that the target compensation coefficient corresponding to the target display status information is T2S2.

After determining the target compensation coefficient, the processor can execute the above step S304, that is, determine the target grayscale value based on the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed, and treat it according to the target grayscale value. Display image for grayscale adjustment.

As an implementation manner, the processor can determine which pixels in the image to be displayed need to have their grayscale values adjusted and which pixels do not need to be adjusted based on the target grayscale threshold. Furthermore, the processor can determine based on the target compensation coefficient and these needs. The original gray value of the adjusted pixels determines the target gray value of the pixels that need to be adjusted. For pixels that do not need to be adjusted, the target gray value can be determined to be its original gray value.

After determining the target grayscale value corresponding to each pixel point, the processor can adjust the grayscale value of each pixel point in the image to be displayed from the original grayscale value to the corresponding target grayscale value, thereby completing the processing of the image to be displayed.

As another implementation manner, the processor may calculate the target grayscale value of each pixel point based on the target compensation coefficient and the original grayscale value of each pixel point in the image to be displayed. The grayscale value adjustment method corresponding to each pixel in the image to be displayed is determined according to the target grayscale threshold.

Specifically, for pixels whose original grayscale value is greater than the target grayscale threshold, a preset method can be used to adjust the grayscale value according to its corresponding target grayscale value; for pixels whose original grayscale value is not greater than the target grayscale The threshold pixel can use another preset method to adjust its gray value according to its corresponding target gray value, thereby completing the processing of the image to be displayed. The specific preset method can be set according to the determination method of the grayscale threshold and compensation coefficient, and is not specifically limited here.

For example, assuming that the processor determines that the target grayscale threshold is 35, then for pixels with original grayscale values greater than 35, the target grayscale value can be calculated based on the target compensation coefficient and the original grayscale value, and then PWM (Pulse width modulation, pulse Width modulation) with a duty cycle of 100%, adjust the grayscale values of these pixels to the corresponding target grayscale values.

For pixels whose original gray value is not greater than 35, the target gray value can be calculated based on the target compensation coefficient and the original gray value, and then the gray value of these pixels can be adjusted using a PWM duty cycle of 50%. Make the adjusted gray value of these pixels slightly higher than the target gray value.

Using the solution provided by the embodiment of the present invention, since the compensation coefficient can identify the gray value that needs compensation corresponding to each gray value under different display state information, according to the pre-established relationship between the display state information and the gray threshold The target grayscale threshold determined by the corresponding relationship can accurately identify the required compensated grayscale value corresponding to each grayscale value under the target display status information. Then, the electronic device determines the target grayscale value based on the target compensation coefficient, and determines the target grayscale value according to the target grayscale value. Adjusting the grayscale value of the image to be displayed can adjust the grayscale value of the image to be displayed to an appropriate value, weakening the impact of ambient light intensity and/or the temperature of the display screen on the display screen, thereby improving the display screen. Effect.

In addition, when the image to be displayed needs to be highlighted, the brightness of the display screen can be increased by adjusting the grayscale value of the image to be displayed, thereby reducing the driving energy consumption of the display screen required for high-definition display.

As an implementation method of the embodiment of the present invention, the above-mentioned step of obtaining the image to be displayed and the target display status information of the display screen used to display the image to be displayed may include:

Obtain the target display status information corresponding to the display partition and the image to be displayed.

Since the ambient light intensity of each part of the display screen may be different, the temperature of each part of the display screen may also be uneven. Therefore, in order to adjust the grayscale value of the image to be displayed more accurately, you can pre-register the gray value of the image to be displayed. Display screen partitions obtained by dividing the display screen that displays the image to be displayed. For example, the display screen can be divided into 4, 6, 8 or 9 display screen partitions in advance. Among them, the size of each display screen partition can be the same or different.

In this case, the processor can display status information corresponding to the target of each display screen partition, that is, it can obtain the ambient light intensity and/or temperature of the environment in which each display screen partition is located. For example, if the processor divides the display screen into six display screen partitions in advance, then when the processor obtains the target display status information, it can obtain the corresponding target display status information of the six display screen partitions respectively.

After the processor obtains the image to be displayed, the image to be displayed can be partitioned and stored according to the partitioning method of the display screen to facilitate subsequent processing.

Correspondingly, the above step of adjusting the grayscale value of the image to be displayed according to the target grayscale value may include:

The target grayscale values corresponding to each display screen partition are integrated into grayscale data corresponding to the image to be displayed according to the positional relationship of each display screen partition; and the image to be displayed is processed according to the grayscale data. Grayscale value adjustment.

Since the target display status information in this case is multiple sets of data for different display partitions, the calculated target grayscale values are also multiple sets of data for different display partitions, so the processor can convert the target grayscale values corresponding to each display partition. The degree value is integrated into the grayscale data corresponding to a frame of image according to the positional relationship of each display screen partition, that is, the grayscale data corresponding to the image to be displayed.

Furthermore, the processor can adjust the grayscale value of the image to be displayed according to the integrated grayscale data. Since the integrated grayscale data is a frame of grayscale data corresponding to each pixel point in the image to be displayed, the processing The processor can accurately and quickly adjust the gray value of the image to be displayed according to the gray data.

It can be seen that in this embodiment, the display screen used to display the image to be displayed can be divided into multiple display areas in advance. In this way, the processor can obtain the target display status information corresponding to each display screen partition, and then, each The target grayscale values corresponding to the display screen partitions are integrated into grayscale data corresponding to the image to be displayed according to the positional relationship of each display screen partition, and the grayscale value of the image to be displayed is adjusted according to the grayscale data. When the ambient light intensity and/or temperature corresponding to each display partition is different, the processor can determine a more appropriate target grayscale value based on the target display status information corresponding to each display partition, thereby further improving the display effect of the display screen.

As an implementation method of the embodiment of the present invention, the above-mentioned step of obtaining the target display status information corresponding to the display screen partition may include:

Obtain the target display status information corresponding to the target partition included in the display screen partition.

As an implementation manner, the above-mentioned display screen partition may include a target partition and a transition partition. When obtaining the target display status information, the processor may only obtain the target display status information corresponding to the target partition, but not the target display status corresponding to the transition partition. information.

For example, as shown in Figure 4, the display screen 400 can be divided into nine areas in advance, among which the display screen partition 401, the display screen partition 403, the display screen partition 407 and the display screen partition 409 are target partitions, and the other display screen partitions are Transition partition. Then the processor can only obtain the target display status information corresponding to the display screen partition 401, the display screen partition 403, the display screen partition 407 and the display screen partition 409 respectively.

Correspondingly, the above step of determining the target grayscale value based on the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed may include:

For each target partition, determine the target gray value corresponding to the target partition according to the target compensation coefficient, the target grayscale threshold and the original grayscale value in the image to be displayed; for each target partition For the transition partition, the target gray value corresponding to the transition partition is calculated based on the target gray value corresponding to the target partition adjacent to the transition partition.

For each target partition, the processor can determine the target gray value corresponding to the target partition based on the target compensation coefficient corresponding to the target partition, the target gray threshold, and the original gray value in the image to be displayed corresponding to the target partition. The specific determination method has been introduced in the above embodiment and will not be described again here.

For each transition partition, the processor can calculate the target gray value corresponding to the transition partition based on the target gray value corresponding to the target partition adjacent to the transition partition. In one implementation, the processor may calculate an average value of target grayscale values corresponding to the target partition adjacent to the transition partition, and use the average value as the target grayscale value corresponding to the transition partition.

In another implementation, the processor may assign different weights to the target partitions adjacent to the transition partition, and then use the weighted average of the target grayscale values corresponding to the target partitions adjacent to the transition partition as the transition The target grayscale value corresponding to the partition.

In another embodiment, for a transition partition whose adjacent area includes both the target partition and other transition partitions, the corresponding target gray value can also be based on the target gray value of the adjacent target partition and other transition partitions. The degree values are calculated, which are reasonable.

For example, as shown in FIG. 4 , the target grayscale value of the transition partition 402 can be calculated based on the target grayscale values corresponding to the target partition 401 and the target partition 403 . The target grayscale value of the transition partition 405 can be calculated based on the target grayscale values corresponding to the target partition 401, the target partition 403, the target partition 407, and the target partition 409. After calculating the target grayscale values of the transition partition 402, the transition partition 404, the transition partition 406 and the transition partition 408, the target grayscale value of the transition partition 401, the target partition 403, the target partition 407, the target partition 409, the transition partition 402 and the transition partition can be calculated. The target grayscale values of 404, transition partition 406 and transition partition 408 are calculated together, which is reasonable.

It can be seen that in this embodiment, the processor can obtain the target display status information corresponding to the target partition included in the display screen partition, and then, for each transition partition, according to the target grayscale corresponding to the target partition adjacent to the transition partition value, and calculate the target gray value corresponding to the transition partition. On the one hand, this can reduce the computational load of the image processing process, and on the other hand, it can make the grayscale transition of the picture natural and even, further improving the picture display effect.

As an implementation manner of the embodiment of the present invention, the above-mentioned target display status information includes the ambient light intensity of the environment where the display screen is located and the temperature of the display screen. In this case, the step of determining the target grayscale threshold corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the grayscale threshold may include:

Based on the ambient light intensity and the pre-established correspondence between the light intensity and the gray threshold, the first target gray threshold is determined; based on the temperature and the pre-established correspondence between the temperature and the gray threshold, Determine the second target grayscale threshold.

The correspondence between light intensity and grayscale threshold and the correspondence between temperature and grayscale threshold can be established in advance, for example, an ambient light intensity-threshold lookup table and a temperature-threshold lookup table. In this way, the processor can determine the first target gray threshold based on the obtained ambient light intensity and the pre-established correspondence between the light intensity and the gray threshold, and determine the first target gray threshold based on the temperature and the pre-established relationship between the temperature and the gray threshold. corresponding relationship to determine the second target grayscale threshold. At this time, two target grayscale thresholds can be obtained.

The above step of determining the target compensation coefficient corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the compensation coefficient may include:

Based on the ambient light intensity and the pre-established correspondence between the light intensity and the compensation coefficient, the first target compensation coefficient is determined; based on the temperature and the pre-established correspondence between the temperature and the compensation coefficient, the second target is determined Compensation coefficient.

Similarly, the corresponding relationship between light intensity and compensation coefficient and the corresponding relationship between temperature and compensation coefficient can be established in advance, for example, ambient light intensity-coefficient lookup table and temperature-coefficient lookup table. In this way, the processor can determine the first target compensation coefficient based on the obtained ambient light intensity and the pre-established correspondence between the light intensity and the compensation coefficient, and based on the temperature and the pre-established correspondence between the temperature and the compensation coefficient , determine the second target compensation coefficient. At this point, two target compensation coefficients can be obtained.

Furthermore, the processor can determine the target of the image to be displayed based on the first target compensation coefficient, the first target grayscale threshold, the second target compensation coefficient, the second target grayscale threshold and the original grayscale value of the image to be displayed. grayscale value.

It can be seen that in this embodiment, for the situation where the target display status information includes the ambient light intensity of the environment where the display screen is located and the temperature of the display screen, two corresponding relationships about the grayscale threshold and two about the compensation can be established in advance. The corresponding relationship between the coefficients, in this way, the processor can determine the grayscale threshold and compensation coefficient respectively according to the ambient light intensity and the temperature of the display screen, so that the target grayscale value calculated subsequently is more suitable for the current ambient light intensity and temperature, and the display The effect of the picture is better.

As an implementation of the embodiment of the present invention, as shown in Figure 5, the above-mentioned method is based on the first target compensation coefficient, the first target grayscale threshold, the second target compensation coefficient, the second target The grayscale threshold and the original grayscale value of the image to be displayed, and the step of determining the target grayscale value of the image to be displayed may include:

S501. Determine a first target grayscale value according to the first target compensation coefficient, the first target grayscale threshold and the original grayscale value of the image to be displayed;

The processor may determine the first target gray value of the pixel in the image to be displayed based on the first target compensation coefficient, the first target gray threshold and the original gray value of the image to be displayed, where the specific calculation method is not specifically limited. , for example, for a pixel whose original grayscale value is greater than the first target grayscale threshold, the processor can determine its first target grayscale value as its original grayscale value; for a pixel whose original grayscale value is not greater than the first target grayscale threshold For a pixel, the processor can calculate a new gray value based on its original gray value and the first target compensation coefficient as its first target gray value.

For another example, for a pixel whose original grayscale value is greater than the first target grayscale threshold, the processor can calculate a new grayscale value based on its original grayscale value and the first target compensation coefficient in a first preset manner as its new grayscale value. The first target gray value; for pixels whose original gray value is not greater than the first target gray threshold, the processor can calculate a new gray value based on the original gray value and the first target compensation coefficient in a second preset manner. gray value as its first target gray value.

S502: Determine a second target grayscale value according to the second target compensation coefficient, the second target grayscale threshold and the original grayscale value of the image to be displayed;

The processor may also determine the second target grayscale value of the pixel in the image to be displayed based on the second target compensation coefficient, the second target grayscale threshold, and the original grayscale value of the image to be displayed. The specific calculation method will not be described again. In this way, two new grayscale values can be obtained for each pixel in the image to be displayed, namely the first target grayscale value and the second target grayscale value.

S503. Based on the first target gray value and the second target gray value, determine the target gray value of the pixel in the image to be displayed according to a preset calculation method.

Next, the processor can determine the target gray value of the pixel in the image to be displayed based on the first target gray value and the second target gray value according to a preset calculation method. As an implementation manner, the processor may calculate an average of the first target gray value and the second target gray value corresponding to each pixel point as the target gray value corresponding to the pixel point.

For example, if the first target gray value and the second target gray value corresponding to pixel 1 are 210 and 220 respectively, then the processor can determine (210+220)/2=215 as the target gray value corresponding to pixel 1. value.

As another implementation manner, the processor can also use other methods to determine the target grayscale value corresponding to the pixel point. For example, corresponding weights can be set for the first target grayscale value and the second target grayscale value respectively, and then the third target grayscale value can be determined. The weighted average of the first target gray value and the second target gray value is determined as the target gray value corresponding to the pixel point. For another example, the processor may determine the target grayscale value based on the first target grayscale value and the second target grayscale value according to a predetermined formula. This is reasonable and is not specifically limited here.

It can be seen that in this embodiment, the processor can respectively calculate the first target gray value and the second target gray value corresponding to each pixel point, and then determine based on the first target gray value and the second target gray value. The target grayscale value of the pixel in the image to be displayed. The target gray value corresponding to each pixel can be accurately determined, thereby improving the display effect of the image to be displayed on the display screen.

As an implementation method of the embodiment of the present invention, as shown in Figure 6, the above-mentioned method based on the first target compensation coefficient, the first target grayscale threshold, the second target compensation coefficient, the second target The grayscale threshold and the original grayscale value of the image to be displayed, and the step of determining the target grayscale value of the image to be displayed may include:

S601: Determine the first type of pixels and the second type of pixels based on the size relationship between the original gray value of the pixel in the image to be displayed and the first target gray threshold and the second target gray threshold. Class pixels, Class III pixels and Class IV pixels;

After determining the first target grayscale threshold and the second target grayscale threshold, the processor can determine the original grayscale value of the pixel in the image to be displayed and the first target grayscale threshold and the second target grayscale. The size relationship between thresholds divides the pixels in the image to be displayed into multiple categories. It can include first type pixels, second type pixels, third type pixels and fourth type pixels. The specific determination method can be determined according to the actual setting method of the target grayscale threshold, and is not specifically limited here.

Among them, the first type of pixels are pixels that only require ambient light compensation, the second type of pixels are pixels that only require temperature compensation, and the third type of pixels require both ambient light compensation and temperature compensation. pixels, the fourth type of pixels are pixels that do not require compensation.

For example, assuming that the original pixel value is greater than the first target grayscale threshold, it indicates that it needs to perform grayscale compensation due to ambient light, and that the original pixel value is smaller than the second target grayscale threshold, it indicates that it needs to perform grayscale compensation due to temperature. Then if the first target grayscale threshold is 150 and the second target grayscale threshold is 200, then the processor can determine that the pixels with the original pixel value not less than 200 are the first type of pixels, and the original pixel values are not less than 150 and less than 200. Pixels are of the second type, pixels with original pixel values less than 150 are of the third type, and there are no fourth type pixels.

For another example, assuming that the original pixel value is less than the first target grayscale threshold indicates that it needs to perform grayscale compensation due to ambient light, and the original pixel value is less than the second target grayscale threshold indicates that it needs to perform grayscale compensation due to temperature. Then if the first target gray threshold is 150 and the second target gray threshold is 200, then the processor can determine that there is no first type of pixel, and the pixels with the original pixel value less than 150 are the second type pixels, and the original pixel value Pixels with an original pixel value of not less than 150 and less than 200 are of the third type, and pixels with an original pixel value of not less than 200 are of the fourth type.

S602. For the first type of pixels, determine the target gray value of the first type of pixels based on the original gray value of the first type of pixels and its corresponding first target compensation coefficient;

For the first type of pixels, since they are pixels that only require ambient light compensation, and the first target compensation coefficient is used to identify the gray value of the pixel that requires compensation due to ambient light, the processing device The target grayscale value of the first type of pixel point may be determined based on the original grayscale value of the first type of pixel point and its corresponding first target compensation coefficient. For example, the processor may determine the product of the original grayscale value of the first type of pixel point and its corresponding first target compensation coefficient as the target grayscale value of the first type of pixel point.

S603. For the second type of pixel point, determine the target grayscale value of the second type of pixel point based on the original grayscale value of the second type of pixel point and its corresponding second target compensation coefficient;

For the second type of pixels, since they are pixels that only require temperature compensation, and the second target compensation coefficient is the gray value used to identify the pixels that require compensation due to temperature, the processing device can be based on The original grayscale value of the second type of pixel point and its corresponding second target compensation coefficient determine the target grayscale value of the first type of pixel point. For example, the processor may determine the product of the original grayscale value of the second type of pixel point and its corresponding second target compensation coefficient as the target grayscale value of the second type of pixel point.

S604: For the third type of pixel, determine the target gray value of the third type of pixel based on the original gray value of the third type of pixel and its corresponding first target compensation coefficient and second target compensation coefficient. degree value;

For the third type of pixels, since they require both ambient light compensation and temperature compensation, the processor can use the original gray value of the third type of pixels and its corresponding first target compensation coefficient and a second target compensation coefficient to determine the target gray value of the third type of pixel point.

For example, assuming that the original gray value of the third category pixel P1 is x, and the first target compensation coefficient and the second target compensation coefficient corresponding to the third category pixel P1 are a and b respectively, then the processor can determine the third category The target gray value of pixel point P1 is ax+b.

Of course, other algorithms can also be used to determine the target grayscale value of the third type pixel point. For example, the original grayscale value of the third type pixel point P2 is x2, the first target compensation coefficient corresponding to the third type pixel point P2 and the third type pixel point P2. The two target compensation coefficients are a2 and b2 respectively, then the processor can determine the target gray value of the third type pixel point P2 as a ² x2 + b ² x2, etc., which are not specifically limited here.

S605: For the fourth type of pixel point, determine the original grayscale value of the fourth type of pixel point as its corresponding target grayscale value.

For the fourth type of pixels, since they do not require gray value compensation, the processor can determine the original gray value of the fourth type pixel as its corresponding target gray value.

In any of the above embodiments, if the calculated gray value is greater than the maximum gray value, for example, the maximum gray value corresponding to 8 bits is 255, and the maximum gray value corresponding to 10 bits is 1024, in this case, The gray value of a pixel can be determined to be the maximum gray value.

It can be seen that in this embodiment, the processor can divide the pixels of the image to be displayed into different categories according to the first target grayscale threshold and the second target grayscale threshold, and then use different methods to determine the corresponding target grayscales. value, thereby more accurately adjusting the grayscale value of the pixels of the image to be displayed according to different light intensities and temperatures, which is more targeted and the display effect is better.

As an implementation of the embodiment of the present invention, the above-mentioned display screen may be provided with an optical sensor and/or a temperature sensor. Among them, the optical sensor and/or the temperature sensor can be built into the display screen, or can be external, that is, placed on a structure other than the display screen. One set of optical sensors and/or temperature sensors can be provided, or multiple sets of optical sensors and/or temperature sensors can be provided, which are not specifically limited here.

For example, as shown in Figure 7 (a), the optical sensor 701 and the temperature sensor 702 can each be installed in one group; as shown in Figure 7 (b), the optical sensor 703 and the temperature sensor 704 can be installed in multiple groups each. Figure 7 In (b), 3 groups are taken as an example; as shown in Figure 7(c), the optical sensor 705 and the temperature sensor 706 can each have multiple built-in groups. In Figure 7(c), 3 groups are taken as an example.

In response to this situation, the above-mentioned steps of obtaining the image to be displayed and the target display status information of the display screen used to display the image to be displayed may include:

Obtain the image to be displayed and the ambient light intensity of the environment where the display screen is located collected by the optical sensor and/or the temperature of the display screen collected by the temperature sensor.

When the display screen is equipped with an optical sensor and/or a temperature sensor, the optical sensor can use the ambient light intensity of the environment where the display screen is located, and the temperature sensor can collect the temperature of the display screen, so the processor can obtain the temperature of the display screen collected by the optical sensor. The ambient light intensity of the environment and/or the temperature of the display screen collected by the temperature sensor is used as the target display status information of the display screen.

Since the ambient light intensity used by optical sensors is generally an optical signal, in order to facilitate subsequent processing, the optical signal can also be converted into an electrical signal that can be processed by the processor through a photoelectric conversion module as the ambient light intensity.

It can be seen that in this embodiment, the display screen can be provided with an optical sensor and/or a temperature sensor. In this way, the processor can obtain the ambient light intensity of the environment where the display screen is located collected by the optical sensor and/or the display screen collected by the temperature sensor. temperature to ensure accurate ambient light intensity and/or temperature, improve the accuracy of subsequent processing, and ensure better display effects on the display screen.

As an implementation method of the embodiment of the present invention, the above-mentioned step of adjusting the gray value of the image to be displayed according to the target gray value may include:

Convert the target grayscale value corresponding to the image to be displayed into the required output format according to the internal data processing data format, and then output it to the data output module. For example, convert the target grayscale value in RGB format to SPI (SerialPeripheral Interface, peripheral Serial interface) format, etc. The timing control module can generate the data processing timing required by the system circuit, the timing required for output display, and PWM compensation waveform, etc., to control the output mode of the data output module.

The data output module restores the input grayscale value to the normal data format, and then outputs the data to the display screen according to the driving requirements of the display screen, so as to achieve the purpose of displaying the grayscale compensated image to be displayed on the display screen.

Corresponding to the above image processing method, embodiments of the present invention also provide an image processing device. The image processing device provided by the embodiment of the present invention is introduced below. The image processing device can be applied to processors, controllers, processing chips, etc. used to control the display screen in electronic equipment. There is no specific limitation here. For clarity of description, it will be referred to as the processor below.

As shown in Figure 8, an image processing device includes:

The status information acquisition module 810 is used to obtain the image to be displayed and the target display status information of the display screen used to display the image to be displayed;

Wherein, the target display status information includes the ambient light intensity of the environment where the display screen is located and/or the temperature of the display screen.

The grayscale threshold determination module 820 is configured to determine the target grayscale threshold corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the grayscale threshold;

The compensation coefficient determination module 830 is configured to determine the target compensation coefficient corresponding to the target display status information based on the target display status information and the pre-established correspondence relationship between the display status information and the compensation coefficient;

Wherein, the compensation coefficient is used to identify the required compensated gray value corresponding to each gray value under different display state information.

The grayscale adjustment module 840 is configured to determine a target grayscale value according to the target compensation coefficient, the target grayscale threshold and the original grayscale value of the image to be displayed, and adjust the target grayscale value according to the target grayscale value. The gray value of the image to be displayed is adjusted.

It can be seen that in the solution provided by the embodiment of the present invention, since the compensation coefficient can identify the gray value that needs to be compensated corresponding to each gray value under different display state information, according to the pre-established display state information and the gray threshold The target grayscale threshold determined by the corresponding relationship between can accurately identify the grayscale value that needs compensation corresponding to each grayscale value under the target display status information. Then, the electronic device determines the target grayscale value based on the target compensation coefficient, and according to The target gray value adjusts the gray value of the image to be displayed, which can adjust the gray value of the image to be displayed to an appropriate value, weaken the impact of ambient light intensity and/or the temperature of the display on the display, thereby improving the performance of the display. Display screen effect.

Optionally, the above status information acquisition module 810 may include:

A partition information acquisition unit is used to obtain the target display status information corresponding to the display screen partition and the image to be displayed.

Wherein, the display screen partition is an area obtained by dividing the display screen for displaying the image to be displayed in advance.

The above-mentioned grayscale adjustment module 840 may include:

An integration unit configured to integrate target grayscale values corresponding to each display screen partition into grayscale data corresponding to the image to be displayed according to the positional relationship of each display screen partition;

An adjustment unit, configured to adjust the grayscale value of the image to be displayed according to the grayscale data.

Optionally, the above partition information acquisition unit may include:

The partition information acquisition subunit is used to obtain the target display status information corresponding to the target partition included in the display screen partition. Wherein, the display screen partition also includes a transition partition.

The above-mentioned grayscale adjustment module 840 may include:

A first grayscale value determination unit configured to determine, for each target partition, the target compensation coefficient corresponding to the target partition, the target grayscale threshold, and the original grayscale value in the image to be displayed corresponding to the target partition, Determine the target gray value corresponding to the target partition;

The second gray value determination unit is configured to calculate, for each transition partition, the target gray value corresponding to the transition partition based on the target gray value corresponding to the target partition adjacent to the transition partition.

Optionally, the above target display status information may include the ambient light intensity of the environment in which the display screen is located and the temperature of the display screen;

The above-mentioned gray threshold determination module 820 may include:

A threshold determination unit configured to determine a first target gray threshold based on the ambient light intensity and a pre-established correspondence between the light intensity and the gray threshold; based on the temperature and the pre-established relationship between the temperature and the gray threshold. Correspondence between, determine the second target grayscale threshold;

The above-mentioned compensation coefficient determination module 830 may include:

A compensation coefficient determination unit configured to determine the first target compensation coefficient based on the ambient light intensity and a pre-established correspondence between the light intensity and the compensation coefficient; based on the temperature and the pre-established relationship between the temperature and the compensation coefficient. Corresponding relationship, determine the second target compensation coefficient;

The above-mentioned grayscale adjustment module 840 may include:

A gray value determination unit configured to determine the first target compensation coefficient, the first target gray threshold, the second target compensation coefficient, the second target gray threshold and the image to be displayed. The original gray value determines the target gray value of the image to be displayed.

Optionally, the above gray value determination unit may include:

A first grayscale determination subunit configured to determine a first target grayscale value based on the first target compensation coefficient, the first target grayscale threshold, and the original grayscale value of the image to be displayed;

A second grayscale determination subunit, configured to determine a second target grayscale value based on the second target compensation coefficient, the second target grayscale threshold, and the original grayscale value of the image to be displayed;

The third grayscale determination subunit is configured to determine the target grayscale value of the pixel in the image to be displayed based on the first target grayscale value and the second target grayscale value according to a preset calculation method.

Optionally, the above gray value determination unit may include:

Pixel classification subunit, used to determine the first category based on the size relationship between the original gray value of the pixel in the image to be displayed and the first target gray threshold and the second target gray threshold. Pixels, second type pixels, third type pixels and fourth type pixels;

Among them, the first type of pixels are pixels that only need ambient light compensation, the second type of pixels are pixels that only need temperature compensation, and the third type of pixels are those that need ambient light compensation. Compensation requires pixels that require temperature compensation, and the fourth type of pixels are pixels that do not require compensation.

The first type of grayscale determination subunit is used for determining the first type of pixel point based on the original grayscale value of the first type of pixel point and its corresponding first target compensation coefficient. Target gray value;

The second type of grayscale determination subunit is used for determining the second type of pixels based on the original grayscale value of the second type of pixels and its corresponding second target compensation coefficient for the second type of pixels. Target gray value;

The third type of grayscale determination subunit is configured to determine, for the third type of pixel point, the original grayscale value of the third type of pixel point and its corresponding first target compensation coefficient and second target compensation coefficient. Describe the target grayscale value of the third type of pixel;

The fourth type of grayscale determination subunit is used to determine the original grayscale value of the fourth type of pixel point as its corresponding target grayscale value for the fourth type of pixel point.

Optionally, the above-mentioned display screen can be provided with an optical sensor and/or a temperature sensor;

The above-mentioned status information acquisition module 810 may include:

A status information acquisition unit is configured to acquire the image to be displayed and the ambient light intensity of the environment where the display screen is located collected by the optical sensor and/or the temperature of the display screen collected by the temperature sensor.

An embodiment of the present invention also provides an electronic device, as shown in Figure 9, including a processor 901, a communication interface 902, a memory 903, and a communication bus 904. The processor 901, the communication interface 902, and the memory 903 communicate through the communication bus 904. complete mutual communication,

Memory 903, used to store computer programs;

The processor 901 is used to implement the steps of the image processing method described in any of the above embodiments when executing the program stored in the memory 903.

The communication bus mentioned in the above-mentioned electronic equipment may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into address bus, data bus, control bus, etc. For ease of presentation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the above-mentioned electronic devices and other devices.

The memory may include random access memory (Random Access Memory, RAM) or non-volatile memory (Non-Volatile Memory, NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located far away from the aforementioned processor.

The above-mentioned processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (Network Processor, NP), etc.; it can also be a digital signal processor (Digital SignalProcessor, DSP), an application-specific integrated circuit (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, and discrete hardware components.

In another embodiment of the present invention, a computer-readable storage medium is also provided. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, any of the above embodiments can be implemented. Described image processing method steps.

In yet another embodiment of the present invention, a computer program product containing instructions is provided, which, when run on a computer, causes the computer to execute the steps of the image processing method described in any of the above embodiments.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with the embodiments of the present invention are generated in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, e.g., the computer instructions may be transferred from a website, computer, server, or data center Transmission to another website, computer, server or data center by wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server, data center, etc. that contains one or more available media integrated. The available media may be magnetic media (eg, floppy disk, hard disk, magnetic tape), optical media (eg, DVD), or semiconductor media (eg, Solid State Disk (SSD)), etc.

It should be noted that in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations are mutually exclusive. any such actual relationship or sequence exists between them. Furthermore, the terms "comprises," "comprises," or any other variations thereof are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that includes a list of elements includes not only those elements, but also those not expressly listed other elements, or elements inherent to the process, method, article or equipment. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article, or apparatus that includes the stated element.

Each embodiment in this specification is described in a related manner. The same and similar parts between the various embodiments can be referred to each other. Each embodiment focuses on its differences from other embodiments. In particular, the device, electronic equipment, computer-readable storage medium, and computer program product embodiments are described simply because they are basically similar to the method embodiments. For relevant details, please refer to the partial description of the method embodiments.

The above descriptions are only preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention are included in the protection scope of the present invention.

Claims (14)

1. An image processing method, the method comprising:

acquiring an image to be displayed and target display state information of a display screen for displaying the image to be displayed, wherein the target display state information comprises the environment light intensity of the environment where the display screen is positioned and/or the temperature of the display screen;

determining a target gray level threshold corresponding to the target display state information based on the target display state information and a pre-established corresponding relation between the display state information and the gray level threshold;

determining a target compensation coefficient corresponding to the target display state information based on the target display state information and a corresponding relation between the display state information and the compensation coefficient, wherein the compensation coefficient is used for identifying gray values which are corresponding to different gray values and need compensation under different display state information;

determining a target gray level value according to the target compensation coefficient, the target gray level threshold value and the original gray level value of the image to be displayed, and adjusting the gray level value of the image to be displayed according to the target gray level value;

The step of obtaining the image to be displayed and the target display state information of the display screen for displaying the image to be displayed comprises the following steps:

acquiring target display state information corresponding to a target partition included in a display screen partition, wherein the display screen partition is a region obtained by dividing a display screen for displaying the image to be displayed in advance, and the display screen partition further comprises a transition partition;

the step of determining the target gray value according to the target compensation coefficient, the target gray threshold value and the original gray value of the image to be displayed includes:

for each target partition, determining a target gray value corresponding to the target partition according to a target compensation coefficient, a target gray threshold and an original gray value in the image to be displayed, which correspond to the target partition; and calculating the target gray value corresponding to the transition partition according to the target gray value corresponding to the target partition adjacent to the transition partition for each transition partition.

2. The method according to claim 1, wherein the step of performing gray value adjustment on the image to be displayed according to the target gray value comprises:

Integrating target gray values corresponding to each display screen partition into gray data corresponding to the image to be displayed according to the position relation of each display screen partition;

and adjusting the gray value of the image to be displayed according to the gray data.

3. The method of claim 1, wherein the target display status information includes an ambient light intensity of an environment in which the display screen is located and a temperature of the display screen;

the step of determining the target gray level threshold corresponding to the target display state information based on the target display state information and the pre-established correspondence between the display state information and the gray level threshold comprises the following steps:

determining a first target gray threshold based on the environment light intensity and a pre-established correspondence between the light intensity and the gray threshold; determining a second target gray threshold based on the temperature and a pre-established correspondence between the temperature and the gray threshold;

the step of determining the target compensation coefficient corresponding to the target display state information based on the target display state information and the pre-established correspondence between the display state information and the compensation coefficient includes:

Determining a first target compensation coefficient based on the environment light intensity and a pre-established corresponding relation between the light intensity and the compensation coefficient; determining a second target compensation coefficient based on the temperature and a pre-established correspondence between the temperature and the compensation coefficient;

the step of determining the target gray value according to the target compensation coefficient, the target gray threshold value and the original gray value of the image to be displayed includes:

and determining the target gray level value of the image to be displayed according to the first target compensation coefficient, the first target gray level threshold, the second target compensation coefficient, the second target gray level threshold and the original gray level value of the image to be displayed.

4. A method according to claim 3, wherein the step of determining the target gray value of the image to be displayed based on the first target compensation coefficient, the first target gray threshold, the second target compensation coefficient, the second target gray threshold, and the original gray value of the image to be displayed comprises:

determining a first target gray value according to the first target compensation coefficient, the first target gray threshold value and the original gray value of the image to be displayed;

Determining a second target gray value according to the second target compensation coefficient, the second target gray threshold value and the original gray value of the image to be displayed;

and determining the target gray value of the pixel point in the image to be displayed according to a preset calculation mode based on the first target gray value and the second target gray value.

5. A method according to claim 3, wherein the step of determining the target gray value of the image to be displayed based on the first target compensation coefficient, the first target gray threshold, the second target compensation coefficient, the second target gray threshold, and the original gray value of the image to be displayed comprises:

determining a first type of pixel point, a second type of pixel point, a third type of pixel point and a fourth type of pixel point according to the magnitude relation between the original gray value of the pixel point in the image to be displayed and the first target gray threshold and the second target gray threshold, wherein the first type of pixel point is a pixel point which only needs to be compensated for ambient light, the second type of pixel point is a pixel point which only needs to be compensated for temperature, the third type of pixel point is a pixel point which needs to be compensated for ambient light and also needs to be compensated for temperature, and the fourth type of pixel point is a pixel point which does not need to be compensated for ambient light;

For the first type pixel points, determining target gray values of the first type pixel points based on the original gray values of the first type pixel points and the corresponding first target compensation coefficients;

for the second class of pixel points, determining target gray values of the second class of pixel points based on the original gray values of the second class of pixel points and the corresponding second target compensation coefficients;

determining a target gray value of the third class pixel point based on the original gray value of the third class pixel point, the corresponding first target compensation coefficient and the second target compensation coefficient;

and determining the original gray value of the fourth class pixel point as the corresponding target gray value of the fourth class pixel point.

6. Method according to any of claims 1-5, characterized in that the display screen is provided with an optical sensor and/or a temperature sensor;

the step of obtaining the image to be displayed and the target display state information of the display screen for displaying the image to be displayed comprises the following steps:

and acquiring an image to be displayed and the environmental light intensity of the environment where the display screen is located, which is acquired by the optical sensor, and/or the temperature of the display screen, which is acquired by the temperature sensor.

7. An image processing apparatus, characterized in that the apparatus comprises:

the system comprises a state information acquisition module, a display screen display module and a display screen display module, wherein the state information acquisition module is used for acquiring an image to be displayed and target display state information of the display screen for displaying the image to be displayed, and the target display state information comprises the environment light intensity of the environment where the display screen is positioned and/or the temperature of the display screen;

the gray threshold determining module is used for determining a target gray threshold corresponding to the target display state information based on the target display state information and a corresponding relation between the display state information and the gray threshold, which is established in advance;

the compensation coefficient determining module is used for determining a target compensation coefficient corresponding to the target display state information based on the target display state information and a corresponding relation between the display state information and the compensation coefficient, wherein the compensation coefficient is used for identifying gray values which are corresponding to each gray value and need compensation under different display state information;

the gray level adjustment module is used for determining a target gray level value according to the target compensation coefficient, the target gray level threshold value and the original gray level value of the image to be displayed, and adjusting the gray level value of the image to be displayed according to the target gray level value;

Wherein, the status information acquisition module includes:

the partition information acquisition unit is used for acquiring target display state information corresponding to a target partition included in a display screen partition, wherein the display screen partition is an area obtained by dividing a display screen for displaying the image to be displayed in advance, and the display screen partition further comprises a transition partition;

the gray scale adjustment module includes:

the first gray value determining unit is used for determining a target gray value corresponding to each target partition according to a target compensation coefficient corresponding to the target partition, a target gray threshold value and an original gray value in the image to be displayed corresponding to the target partition;

and the second gray value determining unit is used for calculating the target gray value corresponding to the transition partition according to the target gray value corresponding to the target partition adjacent to the transition partition for each transition partition.

8. The apparatus of claim 7, wherein the gray scale adjustment module comprises:

the integrating unit is used for integrating the target gray values corresponding to the display screen partitions into gray data corresponding to the image to be displayed according to the position relation of the display screen partitions;

And the adjusting unit is used for adjusting the gray value of the image to be displayed according to the gray data.

9. The apparatus of claim 7, wherein the target display status information includes an ambient light intensity of an environment in which the display screen is located and a temperature of the display screen;

the gray threshold determining module includes:

a threshold determining unit, configured to determine a first target gray threshold based on the environmental light intensity and a correspondence between a light intensity and a gray threshold established in advance; determining a second target gray threshold based on the temperature and a pre-established correspondence between the temperature and the gray threshold;

the compensation coefficient determination module includes:

a compensation coefficient determining unit, configured to determine a first target compensation coefficient based on the environmental light intensity and a correspondence between the light intensity and the compensation coefficient, which is established in advance; determining a second target compensation coefficient based on the temperature and a pre-established correspondence between the temperature and the compensation coefficient;

the gray scale adjustment module includes:

and the gray value determining unit is used for determining the target gray value of the image to be displayed according to the first target compensation coefficient, the first target gray threshold value, the second target compensation coefficient, the second target gray threshold value and the original gray value of the image to be displayed.

10. The apparatus according to claim 9, wherein the gradation value determination unit comprises:

a first gray level determining subunit, configured to determine a first target gray level value according to the first target compensation coefficient, the first target gray level threshold, and an original gray level value of the image to be displayed;

a second gray level determining subunit, configured to determine a second target gray level value according to the second target compensation coefficient, the second target gray level threshold, and the original gray level value of the image to be displayed;

and the third gray level determining subunit is used for determining the target gray level value of the pixel point in the image to be displayed according to a preset calculation mode based on the first target gray level value and the second target gray level value.

11. The apparatus according to claim 9, wherein the gradation value determination unit comprises:

the pixel point classification subunit is configured to determine a first type of pixel point, a second type of pixel point, a third type of pixel point and a fourth type of pixel point according to a magnitude relation between an original gray value of a pixel point in the image to be displayed and the first target gray threshold and the second target gray threshold, wherein the first type of pixel point is a pixel point needing only ambient light compensation, the second type of pixel point is a pixel point needing only temperature compensation, the third type of pixel point is a pixel point needing both ambient light compensation and temperature compensation, and the fourth type of pixel point is a pixel point needing no compensation;

A first class gray level determining subunit, configured to determine, for the first class pixel point, a target gray level value of the first class pixel point based on an original gray level value of the first class pixel point and a first target compensation coefficient corresponding to the original gray level value;

a second class gray level determining subunit, configured to determine, for the second class pixel point, a target gray level value of the second class pixel point based on an original gray level value of the second class pixel point and a second target compensation coefficient corresponding to the original gray level value;

a third class gray level determining subunit, configured to determine, for the third class pixel point, a target gray level value of the third class pixel point based on the original gray level value of the third class pixel point, and a first target compensation coefficient and a second target compensation coefficient corresponding to the original gray level value of the third class pixel point;

and the fourth-class gray level determining subunit is used for determining the original gray level value of the fourth-class pixel point as the corresponding target gray level value of the fourth-class pixel point.

12. Device according to any of claims 7-11, characterized in that the display screen is provided with an optical sensor and/or a temperature sensor;

the status information acquisition module includes:

the state information acquisition unit is used for acquiring an image to be displayed and the environment light intensity of the environment where the display screen is located and acquired by the optical sensor and/or the temperature of the display screen acquired by the temperature sensor.

13. The electronic equipment is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;

a memory for storing a computer program;

a processor for implementing the method of any of claims 1-6 when executing a program stored on a memory.

14. A computer readable storage medium, characterized in that the computer readable storage medium has stored therein a computer program which, when executed by a processor, implements the method of any of claims 1-6.