CN106357978A - Image output method, device and terminal - Google Patents

Abstract

The embodiment of the present invention discloses an image output method, device and terminal, wherein the method comprises: detecting whether a face image is included in a captured image of a terminal; if a face image is included, obtaining the brightness difference between pixels in the face image according to a preset pixel interval; when the brightness difference between pixels in the face image obtained satisfies a preset image output condition, outputting the captured image. The implementation of the embodiment of the present invention can improve the quality of the captured image output by the terminal.

Description

Image output method, device and terminal

technical field

The present invention relates to the field of electronic technology, in particular to an image output method, device and terminal.

Background technique

With the continuous development of terminal technology and image processing technology, the camera function of terminals such as mobile phones is used more and more frequently, such as the use of Selfie more and more, which brings convenience to users to record their lives. In actual shooting, since the selfie is generally not focused when taking a selfie through the front camera, the mobile phone needs to be in a stable state to take a clear selfie. If the mobile phone is slightly shaken, it may cause the picture to be blurred, which will affect the image quality of the selfie. poor.

Contents of the invention

Embodiments of the present invention provide an image output method, device, and terminal, which can improve the quality of captured images output by the terminal.

In the first aspect, the embodiment of the present invention discloses an image output method, including:

Detect whether the captured image of the terminal includes a face image;

If a face image is included, the brightness difference between pixels in the face image is obtained according to a preset pixel interval;

When the brightness difference between pixels in the acquired face image satisfies a preset image output condition, the acquired image is output.

In the second aspect, the embodiment of the present invention also discloses an image output device, including:

An image detection module, configured to detect whether a face image is included in the captured image of the terminal;

An acquisition module, configured to acquire the brightness difference between pixels in the face image according to a preset pixel interval when the image detection module detects that the captured image includes a face image;

An image output module, configured to output the captured image when the brightness difference between pixels in the face image acquired by the acquisition module satisfies a preset image output condition.

In the third aspect, the embodiment of the present invention also discloses a terminal, including an output device, a memory, and a processor, and the processor is respectively connected to the output device and the memory; wherein,

The memory is used to store application programs;

The processor is used to invoke the application program stored in the memory to execute:

Detect whether the captured image of the terminal includes a face image;

If a face image is included, the brightness difference between pixels in the face image is obtained according to a preset pixel interval;

When the brightness difference between the pixels in the acquired face image satisfies a preset image output condition, the acquired image is output through the output device.

Adopting the embodiment of the present invention has the following beneficial effects:

In the embodiment of the present invention, by detecting whether the collected image of the terminal includes a human face image, and when it is detected that the human face image is included, the brightness difference between the pixels in the human face image is obtained according to a preset pixel interval, Therefore, when the brightness difference of pixels in the acquired face image satisfies the preset image output condition, the captured image can be output as a captured image, thereby improving the quality of the captured image output by the terminal.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings that need to be used in the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

FIG. 1 is a schematic flowchart of an image output method provided by an embodiment of the present invention;

FIG. 2 is a schematic flowchart of another image output method provided by an embodiment of the present invention;

FIG. 3 is a schematic flowchart of another image output method provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of an image output device provided by an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of another image output device provided by an embodiment of the present invention;

Fig. 6 is a schematic structural diagram of a terminal provided by an embodiment of the present invention.

detailed description

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The terms "first", "second", and "third" in the specification and claims of the present invention and the above drawings are used to distinguish different objects, rather than to describe a specific order. Furthermore, the term "comprise", as well as any variations thereof, is intended to cover a non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or modules is not limited to the listed steps or modules, but optionally also includes steps or modules that are not listed, or optionally includes For other steps or modules inherent in these processes, methods, products or devices.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The occurrences of this phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is understood explicitly and implicitly by those skilled in the art that the embodiments described herein can be combined with other embodiments.

It should be understood that the technical solutions of the embodiments of the present invention can be specifically applied to mobile phones (such as Android mobile phones, iOS mobile phones, etc.), tablet computers, mobile Internet devices (Mobile Internet Devices, referred to as "MID"), personal digital assistants (Personal Digital Assistant, "PDA" for short), video cameras, cameras and other terminals with shooting functions. The terminal may also be called a user equipment (User Equipment, "UE" for short), a mobile terminal, a wireless terminal, or a mobile station (Mobile Station, "MS" for short), etc., which are not limited in this embodiment of the present invention.

The embodiment of the present invention discloses an image output method, device and terminal, which can improve the quality of captured images output by the terminal. Each will be described in detail below.

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of an image output method provided by an embodiment of the present invention. Specifically, the method in the embodiment of the present invention may be specifically applied to the above-mentioned terminal. As shown in Figure 1, the image output method in the embodiment of the present invention may include the following steps:

101. Detect whether the image collected by the terminal includes a human face image.

In a specific embodiment, when shooting a person image, the portrait area is generally collected through a preset algorithm. For example, when taking a selfie, the face area will be identified through a face recognition algorithm, and then the brightness of the face area is used to increase the brightness, thereby Increase the highlighting of the face area to highlight the face, that is, perform FACE AE. Therefore, by detecting whether the image collected by the terminal includes a face image, a higher-definition captured image can be obtained according to the difference between brightness and darkness in the face image, so as to reduce the blurring of the captured image caused by terminal instability due to hand shake and other reasons The problem.

102. If a face image is included, acquire a brightness difference between pixels in the face image according to a preset pixel interval.

Specifically, due to the particularity of the skin of the portrait, the brightness difference between adjacent pixels (non-spaced pixels) in the face image may be small, thus, a pixel interval can be preset, and one or more pixel intervals can be obtained according to the pixel interval. The brightness difference between pixels of each pixel is used to improve the accuracy of image sharpness detection. Optionally, the pixel interval can be set separately according to different shooting environment conditions, or can be customized according to user requirements, etc., which are not limited in this embodiment of the present invention.

103. When the brightness difference between pixels in the acquired face image satisfies a preset image output condition, output the acquired image.

Optionally, when the brightness difference between the pixels in the acquired face image satisfies the preset image output condition, outputting the captured image may be specifically: combining the brightness difference with the preset brightness Comparing the thresholds, and screening the captured image with the highest definition from at least one captured image acquired by the terminal according to the comparison result; using the filtered captured image as a captured image, and outputting the captured image.

Wherein, the brightness threshold can be preset. Optionally, the user's face image can be collected in advance, and the brightness difference between the pixels in the user's face image can be obtained according to a preset pixel interval; by calculating the brightness difference of the pixels in the user's face image the average value, and set the average value as the preset brightness threshold. Specifically, the brightness threshold can be determined by collecting user face images under different environmental conditions (such as different ambient light intensities), and filtering out images with better clarity after adjusting the preset pixel interval, such as The average value of pixel brightness differences of the face image with better definition is stored as the brightness threshold. Wherein, the brightness threshold can be set corresponding to the pixel interval, that is, different pixel intervals can correspond to different brightness thresholds. Alternatively, the brightness threshold can also be customized and set according to the user's requirement for the clarity of the terminal output image.

Specifically, the image sharpness can be determined by comparing the brightness difference between the pixels in the acquired face image with the preset brightness threshold, so as to determine the clearest one among the multiple images collected by the terminal The captured image is output as a captured image to improve the clarity of the output image.

In the embodiment of the present invention, by detecting whether the collected image of the terminal includes a human face image, and when it is detected that the human face image is included, the brightness difference between the pixels in the human face image is obtained according to a preset pixel interval, Therefore, when the brightness difference of pixels in the acquired face image satisfies the preset image output condition, the captured image can be output as a captured image, thereby improving the quality of the captured image output by the terminal.

Further, please refer to FIG. 2 , which is a schematic flowchart of another image output method provided by an embodiment of the present invention. Specifically, as shown in FIG. 2, the image output method in the embodiment of the present invention may include the following steps:

201. Detect whether the image collected by the terminal includes a face image.

202. If a face image is included, acquire a brightness difference between pixels in the face image according to a preset pixel interval.

203. Detect whether the brightness difference is lower than a preset first brightness threshold.

Wherein, the first brightness threshold can be preset. For example, the first brightness threshold may be a brightness threshold used to determine blurred pixels, the terminal may be preset with brightness thresholds under different environmental conditions, and the first brightness threshold may be a stored brightness matching the current environmental conditions threshold.

204. Count respectively the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the number of facial images included in the captured image whose brightness difference is lower than the first brightness threshold Two numbers.

205. Calculate a first ratio of the second number to the first number.

Specifically, for each of the plurality of images collected by the terminal, the number of acquisitions of pixel brightness differences in each image (that is, the number of comparisons with the first brightness threshold), that is, the first number, may be counted separately, And count the number of times that the brightness difference is lower than the first brightness threshold in the number of acquisition times, that is, the second number, so that the blurring degree of the multiple images can be determined by calculating the ratio of the second number to the first number (that is, the first ratio) . That is, the larger the ratio, the blurrier the image, and vice versa, the clearer the image.

206. Select the acquired image with the smallest first ratio from the acquired at least one acquired image, and use the screened acquired image as the acquired image with the highest definition in the at least one acquired image.

Further, according to the first ratio corresponding to each of the plurality of collected images, that is, the blur degree parameter, the collected image with the lowest degree of blur, that is, the smallest first ratio can be selected and output as the captured image, so that it can be more accurate. to determine the clearest image possible.

207. Use the filtered collected image as a captured image, and output the captured image.

For example, assuming that the first brightness threshold is set to 70, the pixel brightness difference in the face image according to a preset pixel interval, such as two pixels apart, can be compared with this 70 to obtain the number of comparisons, that is, the first number, and The number of times below this 70 is counted, which is the second number. The larger the ratio of the second number to the first number (for example, it can be converted into a percentage), the more blurred the image, because the brightness difference of the pixel is relatively small, and the blurring factor occupies more, so the image with a smaller percentage parameter can be determined It is necessary to output the image with the highest resolution, and output the image with the highest resolution, so as to obtain the clearest selfie image.

Optionally, before obtaining the brightness difference between the pixels in the face image according to the preset pixel interval, it is also possible to further detect whether the current shooting mode of the terminal is a Selfie mode, and if it is a Selfie mode, trigger Implement the technical solutions of the embodiments of the present invention.

In the embodiment of the present invention, the face image can be included in the collected image of the terminal. For example, when taking a selfie, the brightness difference between the pixels in the face image is obtained according to the preset pixel interval, and the obtained brightness difference Compared with the preset first brightness threshold, the captured image with the smallest ratio of the number of times lower than the first brightness threshold to the total number of comparisons can be output as a captured image, thereby improving the quality of the captured image output by the terminal, Improved image clarity.

Further, please refer to FIG. 3 , which is a schematic flowchart of another image output method provided by an embodiment of the present invention. Specifically, as shown in FIG. 3, the image output method in the embodiment of the present invention may include the following steps:

301. Detect whether the image collected by the terminal includes a face image.

302. If a face image is included, acquire a brightness difference between pixels in the face image according to a preset pixel interval.

303. Detect whether the brightness difference is higher than a preset second brightness threshold.

Wherein, the second brightness threshold can be preset. For example, the second brightness threshold may be a brightness threshold used to determine that pixels are clear, the terminal may be preset with brightness thresholds under different environmental conditions, and the first brightness threshold may be a stored brightness that matches the current environmental conditions threshold. Further optionally, the second brightness threshold may be set to be the same as or different from the above-mentioned first brightness threshold. If different, the terminal may set the first brightness threshold and the second brightness threshold respectively according to different environmental conditions in advance.

304. Count respectively the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the first number of brightness differences higher than the second brightness threshold in the face images included in the captured image Three numbers.

305. Calculate a second ratio of the third number to the first number.

Specifically, for each image of the plurality of images collected by the terminal, the number of times the pixel brightness difference is obtained in each image can be counted separately, that is, the first number, and the number of times the brightness difference is higher than the second brightness in the number of times of acquisition can be counted. The number of times of the threshold is the third number, so the clarity of the multiple images can be determined by calculating the ratio of the third number to the first number (ie the second ratio). That is, the larger the ratio, the clearer the image, and vice versa, the blurrier the image.

306. Select the acquired image with the largest second ratio from the acquired at least one acquired image, and use the screened acquired image as the acquired image with the highest definition in the at least one acquired image.

Further, according to the second ratio corresponding to each image in the plurality of collected images, that is, the clarity parameter, the collected image with the highest clarity, that is, the second ratio with the largest value can be selected as the captured image output, so as to be more accurate. to determine the clearest image possible.

307. Use the filtered collected image as a captured image, and output the captured image.

For example, assuming that the second brightness threshold is set to 150, the pixel brightness difference in the face image according to a preset pixel interval, such as an interval of 3 pixels, can be compared with the 150 to obtain the number of comparisons, that is, the first number, and The number of times higher than this 150 is counted, which is the third number. The larger the ratio of the third number to the first number (for example, it can be converted into a percentage), the clearer the image, because the brightness difference of the pixel is relatively small, and the blurring factor occupies more, so the image with a larger percentage parameter can be determined It is necessary to output the image with the highest resolution, and output the image with the highest resolution, so as to obtain the clearest selfie image.

Optionally, before obtaining the brightness difference between the pixels in the face image according to the preset pixel interval, it is also possible to further detect whether the current shooting mode of the terminal is a Selfie mode, and if it is a Selfie mode, trigger Implement the technical solutions of the embodiments of the present invention.

In the embodiment of the present invention, the face image can be included in the collected image of the terminal. For example, when taking a selfie, the brightness difference between the pixels in the face image is obtained according to the preset pixel interval, and the obtained brightness difference Compared with the preset second brightness threshold, the collected image with the largest ratio of the number of times higher than the second brightness threshold to the total number of comparisons can be output as the captured image, thereby improving the quality of the captured image output by the terminal, Improved image clarity.

Please refer to FIG. 4 . FIG. 4 is a schematic structural diagram of an image output device 10 provided by an embodiment of the present invention. Specifically, the device 10 in the embodiment of the present invention may be set in the above-mentioned terminal. As shown in FIG. 4 , the image output device 10 of the embodiment of the present invention may include an image detection module 11 , an acquisition module 12 and an image output module 13 . in,

The image detection module 11 is configured to detect whether the captured image of the terminal includes a face image.

The obtaining module 12 is configured to obtain the brightness difference between pixels in the human face image according to a preset pixel interval when the image detection module 11 detects that the captured image includes a human face image.

Optionally, the pixel interval can be set separately according to different shooting environment conditions, or can be customized according to user requirements, etc., which are not limited in this embodiment of the present invention.

The image output module 13 is configured to output the captured image when the brightness difference between pixels in the face image captured by the acquiring module 12 satisfies a preset image output condition.

Specifically, the image output module 13 can determine the image clarity through the brightness difference between the pixels in the face image acquired by the acquisition module 12, so that the image output module 13 can determine the brightness in the multiple images collected by the terminal The images that do not meet the preset image output conditions are output as the clearest images to improve the output image clarity.

In the embodiment of the present invention, by detecting whether the collected image of the terminal includes a human face image, and when it is detected that the human face image is included, the brightness difference between the pixels in the human face image is obtained according to a preset pixel interval, Therefore, when the brightness difference of pixels in the acquired face image satisfies the preset image output condition, the captured image can be output as a captured image, thereby improving the quality of the captured image output by the terminal.

Further, please refer to FIG. 5 , which is a schematic structural diagram of another image output device 10 provided by an embodiment of the present invention. Specifically, the device 10 of the embodiment of the present invention may include the image detection module 11 , the acquisition module 12 and the image output module 13 of the image output device in the embodiment of the present invention corresponding to FIG. 4 . Further, in the embodiment of the present invention, the image output module 13 may specifically include:

A screening unit 131, configured to compare the brightness difference with a preset brightness threshold, and filter out the captured image with the highest definition from at least one captured image acquired by the terminal according to the comparison result;

The output unit 132 is configured to use the captured image filtered out by the screening unit 131 as a captured image, and output the captured image.

Optionally, in the embodiment of the present invention, the device 10 may further include:

The collection module 14 is used to collect the user's face image, and obtain the brightness difference between the pixels in the user's face image according to the preset pixel interval;

A setting module 15, configured to calculate an average value of brightness differences of pixels in the user's face image, and set the average value as the preset brightness threshold.

Wherein, the brightness threshold can be preset. For example, the brightness threshold can be determined by collecting user face images under different environmental conditions (such as different ambient light intensities) through the acquisition module 14, and by adjusting the preset pixel interval to filter out images with better clarity. For example, the setting module 15 may store the average value of pixel brightness differences of the face image with better definition as the brightness threshold. Wherein, the brightness threshold can be set corresponding to the pixel interval, that is, different pixel intervals can correspond to different brightness thresholds. Alternatively, the setting module 15 can also customize and set the brightness threshold according to the user's requirement for the clarity of the terminal output image.

As an optional implementation manner, the screening unit 131 may be specifically used for:

Detecting whether the brightness difference is lower than a preset first brightness threshold;

Statistically counting the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the second number of brightness differences in face images included in the captured image that are lower than the first brightness threshold ;

calculating a first ratio of the second number to the first number;

Selecting the acquired image with the smallest first ratio from the acquired at least one acquired image, and using the screened acquired image as the acquired image with the highest definition in the at least one acquired image.

Wherein, the first brightness threshold may be preset, and may correspond to the aforementioned brightness threshold. For example, the first brightness threshold may be a brightness threshold used to determine blurred pixels, the terminal may be preset with brightness thresholds under different environmental conditions, and the first brightness threshold may be a stored brightness matching the current environmental conditions threshold.

As an optional implementation manner, the screening unit 131 may be specifically used for:

Detecting whether the brightness difference is higher than a preset second brightness threshold;

respectively counting the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the third number of brightness differences higher than the second brightness threshold in the face images included in the captured image ;

calculating a second ratio of the third number to the first number;

Selecting the acquired image with the largest second ratio from the acquired at least one acquired image, and using the screened acquired image as the acquired image with the highest definition in the at least one acquired image.

Wherein, the second brightness threshold can be preset, and it can also correspond to the above brightness threshold. For example, the second brightness threshold may be a brightness threshold used to determine that pixels are clear, the terminal may be preset with brightness thresholds under different environmental conditions, and the first brightness threshold may be a stored brightness that matches the current environmental conditions threshold. Further optionally, the second brightness threshold can be set to be the same as or different from the above-mentioned first brightness threshold. If different, the setting module 15 can set the first brightness threshold and the second brightness respectively according to different environmental conditions in advance. threshold.

In the embodiment of the present invention, the face image can be included in the collected image of the terminal. For example, when taking a selfie, the brightness difference between the pixels in the face image is obtained according to the preset pixel interval, and the obtained brightness difference Compared with the preset brightness threshold, according to the comparison result, the image with the highest clarity is selected from the multiple images collected by the terminal as the captured image and output, thereby improving the quality of the captured image output by the terminal and improving the clarity of the image Spend.

Please refer to FIG. 6 . FIG. 6 is a schematic structural diagram of a terminal 1 provided by an embodiment of the present invention, which is used to execute the above-mentioned image output method. Specifically, as shown in FIG. 6 , the terminal 1 in this embodiment of the present invention may include: at least one processor 100 , at least one input device 200 , at least one output device 300 , a memory 500 and other components. Wherein, these components are communicatively connected through one or more buses 400 . Those skilled in the art can understand that the structure of the terminal 1 shown in FIG. 6 does not constitute a limitation to the embodiment of the present invention. It can be either a bus-shaped structure or a star-shaped structure, and it can also include more than shown in the figure. or fewer components, or combining certain components, or a different arrangement of components. in:

The processor 100 is the control center of the terminal 1, using various interfaces and lines to connect various parts of the entire terminal 1, by running or executing programs and/or modules stored in the memory 500, and calling data stored in the memory 500, Phase detection data as described above to perform various functions of the terminal 1 and process data. The processor 100 may be composed of an integrated circuit (Integrated Circuit, IC for short), for example, may be composed of a single packaged IC, or may be composed of multiple packaged ICs connected with the same function or different functions. For example, the processor 100 may only include a central processing unit (Central Processing Unit, referred to as CPU), and may also be a CPU, a digital signal processor (Digital Signal Processor, referred to as DSP), a graphics processing unit (Graphic Processing Unit, referred to as GPU) And a combination of various control chips. In the embodiments of the present invention, the CPU may be a single computing core, or may include multiple computing cores.

The input device 200 may include a standard touch screen, a keyboard, a camera, etc., and may also include a wired interface, a wireless interface, and the like. The camera can be connected with a focus motor.

The output device 300 may include a display screen, a speaker, etc., and may also include a wired interface, a wireless interface, and the like.

The memory 500 can be used to store software programs and modules. The processor 100 , the input device 200 and the output device 300 execute various functional applications of the terminal 1 and realize data processing by calling the software programs and modules stored in the memory 500 . The memory 500 mainly includes a program storage area and a data storage area, wherein the program storage area can store an operating system, an application program required by at least one function, etc.; the data storage area can store data created according to the use of the terminal 1 . In the embodiment of the present invention, the operating system may be an Android system, an iOS system, or a Windows operating system and the like.

Specifically, the processor 100 invokes an application program stored in the memory 500 to perform the following steps:

Detect whether the captured image of the terminal includes a face image;

If a face image is included, the brightness difference between pixels in the face image is obtained according to a preset pixel interval;

When the brightness difference between pixels in the acquired face image satisfies a preset image output condition, the acquired image is output through the output device 300 .

Optionally, the processor 100 invokes an application program stored in the memory 500 to execute the step of outputting the obtained face image when the brightness difference between the pixels satisfies a preset image output condition. To collect images as described above, perform the following steps:

Comparing the brightness difference with a preset brightness threshold, and selecting the highest-definition captured image from at least one captured image acquired by the terminal according to the comparison result;

The selected collected images are used as captured images, and the captured images are output through the output device 300 .

Optionally, the processor 100 invokes an application program stored in the memory 500, and is further configured to perform the following steps:

Collecting the user's face image through the input device 200, and acquiring the brightness difference between pixels in the user's face image according to a preset pixel interval;

calculating an average value of brightness differences of pixels in the user's face image, and setting the average value as the preset brightness threshold.

Optionally, the processor 100 invokes an application program stored in the memory 500 to perform the comparison of the brightness difference with a preset brightness threshold, and at least one captured image acquired from the terminal according to the comparison result. To filter out the captured image with the highest resolution from the images, perform the following steps:

Detecting whether the brightness difference is lower than a preset first brightness threshold;

Statistically counting the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the second number of brightness differences in face images included in the captured image that are lower than the first brightness threshold ;

calculating a first ratio of the second number to the first number;

Selecting the acquired image with the smallest first ratio from the acquired at least one acquired image, and using the screened acquired image as the acquired image with the highest definition in the at least one acquired image.

Optionally, the processor 100 invokes an application program stored in the memory 500 to perform the comparison of the brightness difference with a preset brightness threshold, and at least one captured image acquired from the terminal according to the comparison result. To filter out the captured image with the highest resolution from the images, perform the following steps:

Detecting whether the brightness difference is higher than a preset second brightness threshold;

respectively counting the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the third number of brightness differences in the facial images included in the captured image that are higher than the second brightness threshold ;

calculating a second ratio of the third number to the first number;

Selecting the acquired image with the largest second ratio from the acquired at least one acquired image, and using the screened acquired image as the acquired image with the highest definition in the at least one acquired image.

In the foregoing embodiments, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the modules is only a logical function division. In actual implementation, there may be other division methods. For example, multiple modules or components can be combined or May be integrated into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of devices or modules may be in electrical, mechanical or other forms.

The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in one place, or may also be distributed to multiple network modules . Part or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, each module may exist separately physically, or two or more modules may be integrated into one module. The above-mentioned integrated modules can be implemented in the form of hardware, or in the form of hardware plus software function modules.

The above-mentioned integrated modules implemented in the form of software function modules can be stored in a computer-readable storage medium. The above-mentioned software function modules are stored in a storage medium, and include several instructions to make a computer device (which may be a personal computer, server, or network device, etc.) or a processor (processor) execute the methods described in various embodiments of the present invention. partial steps. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other various media that can store program codes. .

Those skilled in the art can clearly understand that for the convenience and brevity of description, only the division of the above-mentioned functional modules is used as an example for illustration. The internal structure of the system is divided into different functional modules to complete all or part of the functions described above. For the specific working process of the device described above, reference may be made to the corresponding process in the foregoing method embodiments, and details are not repeated here.

Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limiting them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It is still possible to modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the various embodiments of the present invention. scope.

Claims (11)

1. An image output method, characterized in that, comprising: Detect whether the captured image of the terminal includes a face image; If a face image is included, the brightness difference between pixels in the face image is obtained according to a preset pixel interval; When the brightness difference between pixels in the acquired face image satisfies a preset image output condition, the acquired image is output. 2. The method according to claim 1, wherein, when the brightness difference between the pixels in the obtained face image satisfies a preset image output condition, outputting the captured image comprises: Comparing the brightness difference with a preset brightness threshold, and selecting the highest-definition captured image from at least one captured image acquired by the terminal according to the comparison result; and using the filtered captured image as a captured image, and outputting the captured image. 3. The method according to claim 2, wherein the method further comprises: Collecting the user's face image, and obtaining the brightness difference between pixels in the user's face image according to a preset pixel interval; calculating an average value of brightness differences of pixels in the user's face image, and setting the average value as the preset brightness threshold. 4. The method according to claim 2, characterized in that the brightness difference is compared with a preset brightness threshold, and the sharpness is filtered out from at least one captured image acquired by the terminal according to the comparison result. Highest acquisition images, including: Detecting whether the brightness difference is lower than a preset first brightness threshold; Statistically counting the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the second number of brightness differences in face images included in the captured image that are lower than the first brightness threshold ; calculating a first ratio of the second number to the first number; Selecting the acquired image with the smallest first ratio from the acquired at least one acquired image, and using the screened acquired image as the acquired image with the highest definition in the at least one acquired image. 5. The method according to claim 2, characterized in that the brightness difference is compared with a preset brightness threshold, and the sharpness is filtered out from at least one captured image acquired by the terminal according to the comparison result. Highest acquisition images, including: Detecting whether the brightness difference is higher than a preset second brightness threshold; respectively counting the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the third number of brightness differences higher than the second brightness threshold in the face images included in the captured image ; calculating a second ratio of the third number to the first number; Selecting the acquired image with the largest second ratio from the acquired at least one acquired image, and using the screened acquired image as the acquired image with the highest definition among the at least one acquired image. 6. An image output device, characterized in that it comprises: An image detection module, configured to detect whether a face image is included in the captured image of the terminal; An acquisition module, configured to acquire the brightness difference between pixels in the face image according to a preset pixel interval when the image detection module detects that the captured image includes a face image; An image output module, configured to output the captured image when the brightness difference between pixels in the face image acquired by the acquisition module satisfies a preset image output condition. 7. The device according to claim 6, wherein the image output module comprises: A screening unit, configured to compare the brightness difference with a preset brightness threshold, and filter out the captured image with the highest definition from at least one captured image acquired by the terminal according to the comparison result; an output unit, configured to use the captured image filtered by the screening unit as a captured image, and output the captured image. 8. The device according to claim 7, further comprising: The collection module is used to collect the user's face image, and obtain the brightness difference between the pixels in the user's face image according to the preset pixel interval; A setting module, configured to calculate an average value of brightness differences of pixels in the user's face image, and set the average value as the preset brightness threshold. 9. The device according to claim 7, wherein the screening unit is specifically used for: Detecting whether the brightness difference is lower than a preset first brightness threshold; Statistically counting the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the second number of brightness differences in face images included in the captured image that are lower than the first brightness threshold ; calculating a first ratio of the second number to the first number; Selecting the acquired image with the smallest first ratio from the acquired at least one acquired image, and using the screened acquired image as the acquired image with the highest definition among the at least one acquired image. 10. The device according to claim 7, wherein the screening unit is specifically used for: Detecting whether the brightness difference is higher than a preset second brightness threshold; respectively counting the first number of brightness differences acquired by each of the at least one captured image acquired by the terminal, and the third number of brightness differences in the facial images included in the captured image that are higher than the second brightness threshold ; calculating a second ratio of the third number to the first number; Selecting the acquired image with the largest second ratio from the acquired at least one acquired image, and using the screened acquired image as the acquired image with the highest definition in the at least one acquired image. 11. A terminal, characterized in that it comprises: an output device, a memory, and a processor, and the processor is respectively connected to the output device and the memory; wherein, The memory is used to store application programs; The processor is used to invoke the application program stored in the memory to execute: Detect whether the captured image of the terminal includes a face image; If a face image is included, the brightness difference between pixels in the face image is obtained according to a preset pixel interval; When the brightness difference between the pixels in the acquired face image satisfies a preset image output condition, the acquired image is output through the output device.