CN118968918B

CN118968918B - A display unit control method and related equipment

Info

Publication number: CN118968918B
Application number: CN202411345576.1A
Authority: CN
Inventors: 李孙寸
Original assignee: BOE Technology Group Co Ltd; Chengdu BOE Optoelectronics Technology Co Ltd
Current assignee: BOE Technology Group Co Ltd; Chengdu BOE Optoelectronics Technology Co Ltd
Priority date: 2024-09-25
Filing date: 2024-09-25
Publication date: 2025-09-26
Anticipated expiration: 2044-09-25
Also published as: CN118968918A

Abstract

The present disclosure discloses a display unit control method and related equipment, which relate to the field of display devices. The method includes: obtaining current grayscale information of each pixel in the above-mentioned display unit; obtaining a single-frame short-term afterimage degree value of each pixel in each statistical period based on the above-mentioned current grayscale information of each pixel in each statistical period and a relationship table between initial state brightness and medium- and short-term afterimage degree; performing cumulative statistical operations on the single-frame medium- and short-term afterimage degree values of each pixel in each statistical period to obtain the medium- and short-term afterimage degree value of each pixel; determining the compensated grayscale value of each pixel based on the medium- and short-term afterimage degree value of each pixel and the relationship table between the medium- and short-term afterimage degree value and the compensated grayscale; and performing a compensation operation on the current grayscale information of each pixel based on the compensated grayscale value of each pixel.

Description

Display unit control method and related equipment

Technical Field

The present disclosure relates to the field of display devices, and more particularly, to a display unit control method and related apparatus.

Background

The display panel is widely applied in modern life and covers a plurality of fields such as televisions, mobile phones, computers and the like. The display panels currently popular in the market mainly include LCDs (Liquid CRYSTAL DISPLAY, liquid crystal display panels) and Organic light emitting OLEDs (Organic LIGHT EMITTING DISPLAY, diode display panels). Compared with LCD, OLED display panels are regarded as an emerging force in display technology because of their advantages of self-luminescence, high brightness, high contrast, thinness, wide viewing angle, fast response speed, special shape, low temperature and high temperature resistance, etc.

With the increasing market competition, consumer demands for display panels are increasing, especially with respect to size, resolution, and manufacturing processes. In the manufacturing process of the OLED display panel, due to the limitation of the process technology, a short-term recoverable ghost may occur when the display panel displays similar contents for a long time. When switching to other pictures, the afterimage phenomenon becomes obvious, thereby reducing the image quality of the display panel and affecting the user experience.

Disclosure of Invention

In the summary, a series of concepts in a simplified form are introduced, which will be further described in detail in the detailed description. The summary of the disclosure is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

In a first aspect, the present disclosure proposes a display unit control method, including:

acquiring current gray-scale information of each pixel in the display unit;

Acquiring a single-frame short-term residual image degree value of each pixel in each statistical period based on the current gray level information and the relation table of initial state brightness and the short-term residual image degree of each pixel in each statistical period;

performing accumulated statistics operation on the short-term residual image degree value in a single frame of each pixel in each statistics period to obtain a short-term residual image degree value of each pixel;

Determining a compensation gray scale value of each pixel based on the middle-short period residual image degree value and compensation gray scale relation table of each pixel;

And performing compensation operation on the current gray level information of each pixel based on the compensation gray level value of each pixel.

In one possible embodiment, the accumulating statistical operation, the compensating gray-scale value determining and the compensating operation are performed based on three basic color channels, respectively.

In a possible implementation manner, the specific step of determining the relation table between the initial state brightness and the intermediate-short term afterimage degree includes:

respectively acquiring brightness percentages and display time data of three basic color channels under different gray scales;

Selecting brightness percentage and display time data of three basic color channels smaller than preset display time under different gray scales, and calculating slope values of brightness percentage and display time curves;

Normalizing the slope values in each basic color channel to obtain middle-short period afterimage degree values corresponding to different gray scales of each basic color channel;

and establishing the relation table of the initial state brightness and the middle-short period residual image degree based on the middle-short period residual image degree values corresponding to all the color channels under different gray scales.

In a possible implementation manner, the specific steps of determining the intermediate-short term residual image degree value and the compensation gray scale relation table include:

Calculating gray-scale compensation values of the three basic color channels under different display time based on gray-scale reduction values of the three basic color channels under different display time and gamma values of the display unit;

and establishing the middle-short period residual image degree value and compensation gray scale relation table based on the gray scale compensation values of the three basic color channels under different display time and the maximum short period residual image degree value in unit time.

In a possible embodiment, the method further comprises:

And correcting the middle-short period afterimage degree value based on the afterimage degree statistical value influence factor and the last screen-off time influence factor to obtain a corrected middle-short period afterimage degree value.

In a possible implementation manner, the step of obtaining the residual image degree statistical value influence factor specifically includes:

Respectively obtaining middle-short-term afterimage degree values of three basic color channels;

and determining an afterimage degree statistical value influence factor of each basic color channel based on the intermediate and short-term afterimage degree value and the afterimage degree statistical value influence factor table of each basic color channel, wherein the afterimage degree statistical value influence factor table comprises the corresponding relation between the intermediate and short-term afterimage degree values and the afterimage degree statistical value influence factors of the three basic color channels.

In a possible implementation manner, the step of obtaining the last off-screen time influence factor specifically includes:

Acquiring the power-off screen-off time length and the power-on brightness change value again;

Constructing an influence degree table of different power-off screen-off time on the residual image based on the power-off screen-off time length and the re-power-on brightness change value;

and determining the influence factor of the last screen-off time based on the last screen-off time and the influence degree table of the power-off screen-off time on the residual image.

In a possible implementation manner, the step of determining the power outage screen-off duration specifically includes:

acquiring first time information through an interface of a Tcon IC;

updating and storing the first time information to a target storage unit based on a preset period;

under the condition that the display unit is powered on, acquiring second time information based on the interface of the Tcon IC;

And determining the power-off screen-off duration based on the difference value between the second time information and the first time information.

In a possible implementation manner, the compensating the current gray-scale information of each pixel based on the compensated gray-scale value of each pixel includes:

Based on the compensation gray scale value of each pixel, respectively obtaining the minimum compensation gray scale values of three basic color channels in all pixels;

And respectively carrying out compensation operation on the current gray scale values of the three basic color channels of each pixel according to the minimum compensation gray scale values of the three basic color channels.

In a possible embodiment, the method further includes:

And correcting the compensation gray scale value of each pixel according to the actual gray scale information and the backlight voltage difference.

In a second aspect, an embodiment of the present disclosure proposes a display unit control apparatus, including:

a first obtaining unit, configured to obtain current gray-scale information of each pixel in the display unit;

the second obtaining unit is used for obtaining a single-frame short-term residual image degree value of each pixel in each statistic period based on the current gray level information and the relation table of the initial state brightness and the short-term residual image degree of each pixel in each statistic period;

a third obtaining unit, configured to perform an accumulated statistical operation on the short-term residual image degree value in a single frame of each pixel in each statistical period, so as to obtain a short-term residual image degree value in each pixel;

A determining unit, configured to determine a compensation gray scale value of each pixel based on the mid-short term residual image degree value and compensation gray scale relation table of each pixel;

And the compensation unit is used for carrying out compensation operation on the current gray level information of each pixel based on the compensation gray level value of each pixel.

In a third aspect, an electronic device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, the processor being adapted to implement the steps of the method for controlling a display unit according to any one of the first aspects described above when executing the computer program stored in the memory.

In a fourth aspect, the present disclosure also proposes a computer-readable storage medium, on which a computer program is stored, which when executed by a processor implements the display unit control method of any one of the first aspects.

In a fifth aspect, the disclosure further proposes a display device comprising the electronic apparatus of the third aspect.

In summary, the display unit control method of the embodiment of the disclosure includes obtaining current gray scale information of each pixel in the display unit, obtaining a single-frame short-term residual image level value of each pixel in each statistical period based on the current gray scale information and an initial state brightness and short-and-medium-term residual image level relation table of each pixel in each statistical period, performing cumulative statistical operation on the single-frame short-and-medium-term residual image level value of each pixel in each statistical period to obtain a short-and-medium-term residual image level value of each pixel, determining a compensation gray scale value of each pixel based on the short-and-medium-term residual image level value and the compensation gray scale relation table of each pixel, and performing compensation operation on the current gray scale information of each pixel based on the compensation gray scale value of each pixel. The method and the device can predict the middle-short period afterimage degree value of each pixel on the display in real time by establishing the middle-short period afterimage rule model, and perform real-time compensation based on the middle-short period afterimage degree value. Compared with the traditional long-term afterimage improvement scheme, the method provided by the disclosure is more suitable for solving the problem of middle-term afterimage and short-term afterimage, and can dynamically respond to the change of display content, so that the occurrence of afterimage is effectively reduced. By calculating and compensating the middle-short period afterimage of each pixel in real time, the display image quality of the OLED display can be remarkably improved, especially in the case of displaying fixed images or common office pictures for a long time. The image quality degradation caused by afterimage is avoided, and a better visual experience is provided for the user. Most of the existing afterimage improvement technologies focus on long-term afterimage compensation, while the present disclosure focuses on middle-short term afterimage processing. In consideration of the difference of the formation reason and the characteristics of the middle-short-term residual image and the long-term residual image, the method fills the blank of the prior art through a compensation strategy specially aiming at the middle-short-term residual image, and improves the pertinence and the effectiveness of the technology. The method provided by the disclosure can adjust the compensation strategy in real time according to the dynamic change of the display content, so that the afterimage weakening process better meets the requirements in practical application. This feature ensures that the OLED display maintains a high quality display effect in various display scenes. The method and the device improve the basis of the prior art, provide an effective improvement scheme aiming at short-term afterimage in the OLED display panel, not only make up the defects of the traditional technology, but also improve the overall performance and user experience of the display through real-time prediction and dynamic compensation.

Additional advantages, objects, and features of the disclosure will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the disclosure.

Drawings

Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the specification. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:

fig. 1 is a schematic flow chart of a control method of a display unit according to an embodiment of the disclosure;

FIG. 2 is a graph showing the correspondence between the display time and the luminance percentage of the G channel according to the present disclosure;

FIG. 3 is a schematic diagram showing the recovery of a gray level of 255 with power-off time after aging for 2 hours according to a different aging gray level proposed in the present disclosure;

Fig. 4 is a schematic diagram of a display unit control method according to the present disclosure;

fig. 5 is a schematic structural diagram of a display unit control device according to an embodiment of the disclosure;

fig. 6 is a schematic structural diagram of a display unit control electronic device according to an embodiment of the disclosure;

fig. 7 is a schematic structural diagram of a display device according to an embodiment of the disclosure.

Detailed Description

The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above-described figures, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments described herein may be implemented in other sequences than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. The following description of the technical solutions in the embodiments of the present disclosure will be made clearly and completely with reference to the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are only some embodiments of the present disclosure, not all embodiments.

Referring to fig. 1, a schematic flow chart of a display unit control method provided in an embodiment of the disclosure may specifically include:

s110, acquiring current gray-scale information of each pixel in the display unit;

illustratively, current gray-scale information for each pixel in the OLED display unit is obtained. The gray scale information reflects the brightness state of the pixel and is basic data of the short-term afterimage degree in subsequent calculation.

S120, acquiring a single-frame short-term residual image degree value of each pixel in each statistical period based on the current gray level information and an initial state brightness and short-term residual image degree relation table of each pixel in each statistical period;

illustratively, in each statistical period, the system calculates a single-frame short-term afterimage degree value for each pixel based on the current gray-scale information and the initial state brightness and short-term afterimage degree relation table for each pixel. The level value represents the short-term afterimage effect in the current frame due to the display content of the pixel. The statistical period may be 1 second, 5 seconds, 10 seconds, or the like.

S130, carrying out accumulated statistics operation on the short-term afterimage degree value in a single frame of each pixel in each statistics period to obtain a short-term afterimage degree value of each pixel;

Illustratively, the cumulative statistical operation is performed on the calculated single-frame short-term afterimage degree value of each pixel in each statistical period. By accumulating the influence of short-term afterimages, intermediate-term afterimage degree values are gradually formed, and the dynamic process that afterimages are aggravated along with the time is reflected.

S140, determining a compensation gray scale value of each pixel based on the middle-short period residual image degree value and compensation gray scale relation table of each pixel;

After the mid-short-term residual image degree value of each pixel is obtained, the system determines the compensation gray scale value of each pixel according to the mid-short-term residual image degree value and the compensation gray scale relation table. The compensation gray scale value is used for counteracting the afterimage effect and restoring the normal display effect of the pixel.

And S150, performing compensation operation on the current gray level information of each pixel based on the compensation gray level value of each pixel.

Illustratively, the compensation operation is performed on the current gray-scale information of each pixel based on the above-determined compensation gray-scale value. The residual image of each pixel can be effectively compensated, so that the display image quality of the whole display is improved.

In summary, the present disclosure can predict the mid-to-short term afterimage degree value of each pixel on the display in real time by establishing the mid-to-short term afterimage rule model, and perform real-time compensation based thereon. Compared with the traditional long-term afterimage improvement scheme, the method provided by the disclosure is more suitable for solving the problem of middle-term afterimage and short-term afterimage, and can dynamically respond to the change of display content, so that the occurrence of afterimage is effectively reduced. By calculating and compensating the middle-short period afterimage of each pixel in real time, the display image quality of the OLED display can be remarkably improved, especially in the case of displaying fixed images or common office pictures for a long time. The image quality degradation caused by afterimage is avoided, and a better visual experience is provided for the user. Most of the existing afterimage improvement technologies focus on long-term afterimage compensation, while the present disclosure focuses on middle-short term afterimage processing. In consideration of the difference of the formation reason and the characteristics of the middle-short-term residual image and the long-term residual image, the method fills the blank of the prior art through a compensation strategy specially aiming at the middle-short-term residual image, and improves the pertinence and the effectiveness of the technology. The method provided by the disclosure can adjust the compensation strategy in real time according to the dynamic change of the display content, so that the afterimage weakening process better meets the requirements in practical application. This feature ensures that the OLED display maintains a high quality display effect in various display scenes. The method and the device improve the basis of the prior art, provide an effective improvement scheme aiming at short-term afterimage in the OLED display panel, not only make up the defects of the traditional technology, but also improve the overall performance and user experience of the display through real-time prediction and dynamic compensation.

In some examples, the accumulating statistical operation, the compensating gray-scale value determination, and the compensating operation are performed based on three basic color channels, respectively.

The cumulative statistics operation, the compensation gray-scale value determination and the compensation operation are respectively performed in three basic color channels of RGB, so that the afterimage of each color channel can be effectively compensated, and the display image quality of the whole display is improved.

In some examples, the specific step of determining the table of initial state brightness and intermediate-short term afterimage degree includes:

For example, the brightness percentage and the display time data of three basic color channels (R/G/B) in the display unit at different gray scales are respectively obtained. By testing a plurality of gray levels, the accuracy of the data can be improved. Fig. 2 is a graph showing the correspondence between G channel display time and luminance percentage. And selecting the brightness percentages and the display time data of the three basic color channels with different gray scales, which are smaller than the preset display time length, and calculating the slope values of the brightness percentages and the display time curves, such as the data values circled in fig. 2. This slope value reflects the speed of influence of the display content on the formation of an afterimage at different gray levels.

And in each basic color channel, carrying out normalization processing on the slope values so as to obtain the middle-short period afterimage degree value corresponding to each basic color channel under different gray scales. The normalization process ensures that the afterimage degree values of different color channels can be compared and applied under the same standard.

Establishing a relation table of initial state brightness and middle-short period residual image degree as shown in table 1:

Gray	R	G	B
				0	0	0	0
1	0	0	0
				2	0	0	0
3	0	0	0
				4	0	0	0
5	0	0	0
				6	0	0	0
~	~	~	~
				247	110	106	100
248	128	124	120
				249	149	148	145
250	176	175	172
				251	199	197	195
252	228	226	225
				253	244	242	240
254	252	251	250
				255	255	255	255

TABLE 1

And establishing a relation table of initial state brightness and the middle-short period residual image degree based on the middle-short period residual image degree values corresponding to all the color channels under different gray scales. Table 1 is an important basis for performing real-time compensation operation according to the present embodiment, and contains the residual image degree values of three basic color channels under each gray level. The relation table of the brightness of the initial state and the middle-short period residual image degree comprises middle-short period residual image values corresponding to R/G/B color channels under each gray level. The data in the relation table of the initial state brightness and the middle-short period residual image degree is normalized, and the maximum value is normalized to 255. For example, if the luminance change curve slope of G255 is 3 times that of G128, in table 1, the value of G255 is 255 and the value of G128 is 255/3=85.

Through the steps, the scheme effectively establishes a relation table of different gray scales and the middle-short-term residual image degree, and accumulates and counts the middle-short-term residual image degree value through the table in practical application.

In some examples, the specific steps of determining the intermediate-short term afterimage degree value and the compensation gray scale relation table include:

For example, the brightness percentage and the display time data of three basic color channels (R/G/B) in the display unit at different gray scales are respectively obtained. The data are the basis for establishing the relationship between the afterimage degree and the compensation, and the accuracy of the data is ensured through independent measurement of different color channels.

And calculating gray-scale compensation values of the three basic color channels under different display time based on the gray-scale reduction values of the three basic color channels under different display time and the gamma values of the display unit. The gray scale reduction value reflects the degree of attenuation of the pixel brightness, and the gamma value is used to adjust the relationship between brightness and gray scale.

For example, according to the luminance change data of 255 gray scales in fig. 2, if the luminance is counted once for 1 minute, and 18.27 hours elapses, the luminance is reduced from 255 gray scales to 253.37 gray scales, the offset value offset is (0.986 (1/2.2)) 255=1.62, wherein 2.2 is the gamma value of the display unit.

And establishing a relation table of the middle-short-term residual image degree value and the compensation gray scale based on the gray scale compensation values of the three basic color channels under different display time and the maximum value of the middle-short-term residual image degree in unit time, namely the maximum value of the middle-short-term residual image degree of 255 gray scale data. The table is used for guiding compensation operation to dynamically adjust the gray scale value of each pixel during the running process of the display, so as to reduce the influence of residual image.

In practical application, assuming that the designed statistic bit width is 24 bits, the maximum statistic is 2≡24. If the gray level is 255 for each statistic and is counted once per frame, the statistic will reach a maximum value within 18.27 minutes at a refresh frequency of 60 Hz. To accommodate practical use, the present protocol is set to count once for 1 minute, so that the count will reach a maximum within 18.27 hours. Because the middle-short period afterimage generally tends to be stable within a few hours, the afterimage of the first few hours is mainly compensated.

By the above statistical and calculation, the compensation gray scale value (offset value) of different time nodes is obtained as shown in table 2. The compensation values are based on the actual changes of the test data, and after a long-time power-off screen is stopped, the statistical values are updated to be small values, and even 0 is possible, so that the residual image is disappeared, and the compensation values are correspondingly adjusted to be 0.

Accum	R_offset	G_offset	B_offset
				0	0	0	0
2^17	0	0	0
				2^18	0.12	0.14	0.09
2^19	0.23	0.24	0.19
				2^20	0.56	0.60	0.45
2^21	1.15	1.25	1.08
				2^22	1.67	1.78	1.56
2^23	1.92	2.35	1.90
				2^24	2.10	2.50	2.09

TABLE 2

According to the invention, the middle-short period residual image degree under different gray scales in the display unit is counted and calculated, the relation table of the middle-short period residual image degree value and the compensation gray scale is established, and the compensation values are applied in the actual display process, so that the middle-short period residual image problem of the OLED display can be effectively improved, the display quality is improved, and especially when similar contents are displayed for a long time. The scheme fully considers the dynamic change characteristics of the middle-short-term afterimage, and obviously improves the visual experience of the user through accurate compensation operation.

In some examples, the above method further comprises:

Illustratively, the residual image level statistical impact factor is used to reflect the impact of the display content on the short-term residual image level value over a particular period of time. This influence factor may be determined based on the characteristics of the display content, the display duration, the brightness change law, and the like. And introducing an influence factor of the residual image degree statistical value to correct the result when calculating the intermediate-short-term residual image degree value. The correction can more accurately reflect the actual condition of the residual image under different display conditions, thereby improving the accuracy of compensation.

The last screen-off time influence factor reflects the influence of the last screen-off time of the display on the current middle-short-term afterimage degree value. The longer the screen-off time, the more obvious the afterimage effect may be weakened, so the factor is used for adjusting the afterimage degree value so as to be more in line with the current actual afterimage state of the display. And when calculating or correcting the intermediate and short-term residual image degree value, combining the last screen-off time influence factor to dynamically adjust the statistical result. This process takes into account the historical usage status of the device, making the compensation values more targeted.

And the obtained intermediate-short-term afterimage degree value is closer to the actual afterimage state of the display through the correction of the two influence factors. Specific calculation methods may include weighting, adjusting, or modifying the original statistics through formulas. And the corrected intermediate-short-term residual image degree value is used for final compensation gray scale calculation. The correction can reflect the current afterimage degree of the display more accurately, further improves the compensation effect, and enables the display to keep the best display quality under different use scenes.

In some examples, the step of obtaining the residual image level statistical value influence factor specifically includes:

Illustratively, according to the contents of table 1, the signal to be displayed per frame determines the residual image contribution value corresponding to each gray level by looking up the table of fig. 3 through RGB gray levels.

For example, taking the G channel as an example, pixel a initially displays gray level 255 and pixel B initially displays gray level 128, the current mid-to-short term afterimage levels of pixels a and B are respectively:

accum_A=accum_A+255

accum_B=accum_B+85

assuming that the gray levels of the next frame are 250 and 254, the updated residual image level value is:

accum_A=accum_A+175

accum_B=accum_B+251

In this way, the mid-to-short term afterimage level value of each pixel is calculated and updated per frame.

The middle-short term afterimage levels may be different for different pixels at the same gray scale. Therefore, the residual image degree influence statistical coefficient factor k1 is introduced for correction. The k1 factor reflects the characteristics of faster change of the early afterimage and stable afterimage. The table 3 includes a correspondence relationship between the short-and-medium-term residual image degree values and residual image degree statistical value influence factors of three basic color channels, as shown in table 3.

Accum	R_k1	G_k1	B_k1
				0	0	0	0
2^17	0.99	0.99	0.99
				2^18	0.95	0.95	0.95
2^19	0.90	0.91	0.90
				2^20	0.82	0.8.3	0.85
2^21	0.73	0.71	0.70
				2^22	0.68	0.67	0.65
2^23	0.62	0.63	0.61
				2^24	0.58	0.58	0.57

TABLE 3 Table 3

For example, pixel a displays gray level 255 for a long period of time and pixel B displays gray level 128 for a long period of time, assuming that:

accum_A=2^21

accum_B=2^18

When the two pixels are switched to the same gray level 250, the afterimage level value updating method is as follows:

accum_A=accum_A+175*k1_A

accum_B=accum_B+175*k1_B

By looking up table 3:

Let k1_a=0.71% when accum_a=2ζ1)

Let k1_b=0.95% when accum_b=2≡18)

If the value of accum_A is between two nodes (e.g., 2≡20< accum_A <2≡21), the accurate value of k1_A is obtained by interpolation calculation.

According to the method provided by the embodiment, through the introduction of the residual image degree statistical value influence factor k1, the accurate correction of the short-term residual image degree in different pixels is realized. The correction process considers the dynamic change characteristic of the residual image accumulation, so that the compensation is more targeted and effective. And finally, combining the residual image degree statistical value influence factor table to determine the correction coefficient of each color channel, thereby improving the accuracy and the display quality of short-term residual image compensation in the OLED display.

In some examples, the step of obtaining the last off-screen time influence factor specifically includes:

Illustratively, when the display unit is powered off to rest the screen, the duration of the rest of the screen is recorded. After power-up again, the brightness change value of the display is measured and recorded. The brightness change value reflects the weakening degree of the afterimage caused by the screen extinguishing time.

And constructing a table of the influence degree of the power-off screen-off time on the residual image based on the power-off screen-off time and the brightness change value of the re-power-on. The table is shown in table 4, and is used for representing k2 values corresponding to different screen-off times, and the k2 values are set as shown in fig. 3 with reference to actual test data.

Accum	k2
		0	0
5min	0.78
		10min	0.51
20min	0.20
		60min	0.05
120min	0
		240min	0

TABLE 4 Table 4

When the display unit is powered on again, the system reads the current time, compares the current time with the power-off time, acquires the screen-off time, searches the influence degree table of the power-off screen-off time on the residual image according to the screen-off time, and determines the corresponding k2 value.

After considering the influence of the screen-off time, the accumulated and counted residual image degree value needs to be corrected. Specifically, the calculation formula of the cumulative afterimage degree value is:

accum_A=accum_A+175*k1_A*k2

Wherein k1_A is an influence correction factor based on the afterimage degree, and k2 is an influence correction factor based on the last off-screen time. By the combined action of the two factors, the final afterimage degree value can reflect the state of the current display more accurately.

As shown in fig. 3, the recovery of different aged gray scales at 255 with power-off time after aging for 2 hours is schematically shown. In the test data shown in fig. 3, after different aging gray scales (such as 64,128,255) are aged for 2 hours, the influence of the screen-off time on the weakening of the residual image is determined by switching off the screen off and switching on the power supply for multiple times. Because the influence difference of different gray scales on the screen extinguishing time is smaller, the k2 values of all the gray scales can be uniformly used.

According to the above test data, when constructing table 4, the corresponding time node is used to determine the k2 value corresponding to each time period. These values may be obtained by looking up a table and used to correct the accumulated residual image level value.

According to the embodiment of the disclosure, the accuracy of middle-short-term afterimage compensation is further improved by introducing the influence correction factor k2 of the last screen-off time. The factor dynamically corrects the accumulated residual image degree value based on the length of the screen-off time, so that the compensation is more in line with the service condition of the actual display. And finally, the correction of k1 and k2 is combined, so that the middle-short period afterimage problem of the OLED display is better controlled and compensated, and the display quality and the user experience are improved.

In some examples, the step of determining the power outage screen-off duration specifically includes:

acquiring first time information through an interface of a Tcon IC;

Illustratively, the system obtains the currently displayed time information in real time through an interface (such as eDP protocol) of the Tcon IC, and records the currently displayed time information as the first time information. The time information reflects the state of the display before the power is off. The system updates and stores the first time information to a target storage unit (e.g., a Flash storage unit) according to a preset period (e.g., every 2 minutes). This ensures that the system is able to record the latest time information when the power is off. When the display unit is powered on again, the system acquires current time information through the Tcon IC interface again and records the current time information as second time information. This time information is used to compare with the first time information before the power down. And when Power is applied each time, setting the Power-on Flag bit Power_Flag to 1, and calculating and updating the k2 value. After the k2 value is calculated, power_flag is set to 0. The time information obtained through the Tcon IC interface is updated and stored periodically to calculate the screen time period when the power is turned back on after the screen is turned off. And according to the calculated screen-extinguishing time, the system adjusts the k2 value to accurately correct the residual image degree value of each pixel in the display process.

In some examples, the compensating the current gray-scale information of each pixel based on the compensated gray-scale value of each pixel includes:

Illustratively, in the above-described embodiments, a corresponding compensation gray-scale value has been calculated for each pixel. For example, the compensation gray-scale value of pixel a is 2.01 gray-scale, and the compensation gray-scale value of pixel B is 0.25 gray-scale. And comparing the compensation gray scale values of all the pixels to determine the minimum compensation gray scale value. In the above example, the 0.25 gray scale of pixel B is the minimum value.

And calculating the actual compensation gray scale values of other pixels by taking the minimum compensation gray scale value as a reference. Specifically, the actual compensation gray-scale value of pixel a is:

actual compensation gray scale value_a=2.01-0.25=1.76 gray scale

For the pixel B, since its compensation gray-scale value is the minimum value, its actual compensation gray-scale value is 0 gray-scale.

By subtracting the minimum compensation gray level value, this compensation strategy can reduce unnecessary compensation, thereby saving compensation gray levels. The method can reduce the overall compensation intensity, can reserve more compensation space in the subsequent display process, and improves the long-term compensation effect. The method ensures that compensation is mainly performed for pixels with larger afterimage degree, and reduces or does not perform compensation for pixels with smaller afterimage, so that the compensation effect is more uniform and effective.

According to the embodiment of the disclosure, the pixel with the minimum afterimage degree value is used as a reference, and the strategy of actually compensating gray scale is calculated and executed, so that accurate compensation of short-term afterimages in the OLED display is realized. The method effectively saves the compensation gray scale, ensures that a better effect is kept in the whole compensation process, adapts to the dynamic change of the residual image of the display, and finally improves the display quality and the user experience.

In some examples, further comprising:

For example, in order to further improve the compensation accuracy, in addition to the compensation gray-scale value of the foregoing step, the compensation gray-scale value of each pixel needs to be corrected according to the actual gray-scale information and the backlight voltage Difference (DBV). By introducing the gray scale coefficient k3 and the DBV coefficient k4, the system can correct the residual image degree of different gray scales and DBVs, so that the compensation is more accurate.

The above embodiment has calculated a compensation gray-scale value for 255 gray-scales at a specific DBV. For example, the compensation gray-scale value of the pixel a is 1.76 gray-scales, which is a compensation result based on 255 gray-scales under a fixed DBV condition.

The gray scale coefficient k3 is used for correcting the difference of the middle-short-term residual images under different gray scales. Under different gray scales, the residual image degree of the pixels is different, so that the compensation gray scales are adjusted through the gray scale coefficient k 3. Assuming that the gray level actually displayed by pixel a is 128, the k3 value may be set by selecting several nodes according to test and debug effects. At this time, the compensation gray-scale value of the pixel a needs to be corrected by multiplying k 3.

The backlight voltage Difference (DBV) coefficient k4 reflects the variation of the afterimage under different DBV conditions. Different backlight voltages affect the screen brightness and the afterimage effect, so that further correction of the compensation gray scale value by k4 is required. Assuming that the pixel A is under the condition of 50% DBV, the k4 value is set according to the debugging result to correct the afterimage influence caused by DBV.

After the correction of the gray-scale coefficient k3 and the DBV coefficient k4, the actual compensation gray-scale value calculation formula of the pixel A is as follows:

actual compensation gray level=128+1.76×k3×k4

In this formula, 128 is the actual gray-scale value currently displayed by the pixel a, and 1.76 is the initial compensation value based on 255 gray-scales and a specific DBV, and is corrected by multiplying the gray-scale coefficient k3 and the DBV coefficient k4, so that the compensation value more accords with the current display condition.

By compensating and correcting the residual images under different gray scales and DBV conditions, the compensation accuracy can be effectively improved. The introduction of the gray scale coefficient k3 and the DBV coefficient k4 ensures that the compensation gray scale can dynamically adapt to the brightness and gray scale change of the display, and reduces the visual difference generated by the afterimage. The values of k3 and k4 are determined by actual test and debug effects and the coefficients can be set by selecting several key nodes to ensure that the compensation can adapt to different display states. According to the embodiment of the disclosure, the compensation gray scale of each pixel is corrected by introducing the gray scale coefficient k3 and the DBV coefficient k4, so that the compensation effect is more accurate. According to the actual gray level information and the backlight voltage difference, each pixel can be optimally compensated under different gray levels and DBV conditions, so that the problem of middle-short-term afterimage of an OLED display is effectively solved, and the display quality and the user experience are improved.

The invention provides an effective improvement scheme for short-term afterimage in an OLED display panel, and the display quality and the user experience are remarkably improved by predicting and compensating the short-term afterimage degree value of each pixel in real time. The following steps and characteristics of the scheme are as follows:

In some examples, as shown in fig. 4, a schematic diagram of a display unit control method proposed in the present disclosure is:

The control method provided by the disclosure firstly obtains the current gray level information of each pixel in the OLED display unit, and the current gray level information is used as basic data for calculating the short-term residual image degree.

And calculating a single-frame short-term residual image degree value of each pixel based on the current gray level information and the relation table of the initial state brightness and the short-term residual image degree in each statistical period. This level value reflects the afterimage effect of the pixels in the current frame. And carrying out accumulated statistics on the single-frame short-term residual image degree value obtained through calculation in each statistics period to gradually form a middle-short-term residual image degree value, and reflecting the dynamic process that the residual image is aggravated along with the time. And correcting the intermediate-short-term residual image degree value based on the residual image degree statistical value influence factor k1 and the last screen-off time influence factor k 2.

And according to the corrected middle-short period residual image degree value and the compensation gray scale relation table, the system determines a compensation gray scale value for each pixel so as to offset the residual image effect and restore the normal display effect of the pixel.

And calculating the actual compensation gray scale value of each pixel by taking the pixel with the minimum residual image degree value as a reference. By reducing unnecessary compensation, the compensation effect is optimized, especially reserving more compensation space during subsequent display.

In order to further improve the accuracy of compensation, the scheme corrects the compensation gray scale value according to the actual gray scale information and the backlight voltage Difference (DBV). The compensation gray scale is dynamically adjusted by introducing the gray scale coefficient k3 and the DBV coefficient k4, so that the compensation gray scale is more in line with the current display condition.

The method provided by the disclosure can dynamically adjust the compensation strategy according to the change of the display content and the different display conditions, and reduce the visual difference generated by the afterimage. Through multiple strategies such as gray scale and DBV correction, influence correction of screen-off time and the like, the compensation effect is ensured to be more accurate. The problem of middle-short period afterimage of the OLED display is effectively solved, and particularly, under the condition that fixed images or common office pictures are displayed for a long time, the display quality and the user experience are remarkably improved. The method overcomes the defects of the traditional long-term afterimage compensation technology through a series of accurate calculation and correction operations, and provides a more effective medium-short-term afterimage improvement scheme for the OLED display panel.

Referring to fig. 5, a schematic structural diagram of a display unit control device according to an embodiment of the disclosure may include:

a first acquiring unit 21, configured to acquire current gray-scale information of each pixel in the display unit;

a second obtaining unit 22, configured to obtain a single-frame short-term residual image degree value of each pixel in each statistical period based on the current gray-scale information and the initial state brightness and the short-and-medium-term residual image degree relation table of each pixel in each statistical period;

a third obtaining unit 23, configured to perform an accumulated statistical operation on the short-term residual image level value in a single frame of each pixel in each statistical period, so as to obtain a short-term residual image level value of each pixel;

a determining unit 24 for determining a compensation gray scale value for each pixel based on the intermediate-short-term afterimage degree value and compensation gray scale relation table for each pixel;

And a compensation unit 25 for performing compensation operation on the current gray-scale information of each pixel based on the compensation gray-scale value of each pixel.

As shown in fig. 6, the embodiment of the disclosure further provides an electronic device 300, including a memory 310, a processor 320, and a computer program 311 stored in the memory 310 and executable on the processor, where the processor 320 implements any of the steps of the method for controlling a display unit described above when executing the computer program 311.

As shown in fig. 7, the embodiment of the disclosure further provides a display apparatus 30, including an electronic device 300, where the electronic device includes a memory 310, a processor 320, and a computer program 311 stored on the memory 310 and executable on the processor, and the processor 320 implements steps of any one of the methods of controlling the display unit when executing the computer program 311.

Since the electronic device described in this embodiment is a device for implementing a display unit control apparatus in an embodiment of the present disclosure, based on the method described in the embodiment of the present disclosure, a person skilled in the art can understand a specific implementation manner of the electronic device in this embodiment and various modifications thereof, so how to implement the method in the embodiment of the present disclosure in this electronic device will not be described in detail herein, and as long as a person skilled in the art implements the device for implementing the method in the embodiment of the present disclosure, the device is within the scope of protection intended by the present disclosure.

In a specific implementation, any implementation manner of the embodiment corresponding to the first aspect may be implemented when the computer program 311 is executed by a processor.

In the foregoing embodiments, the descriptions of the embodiments are focused on, and for those portions of one embodiment that are not described in detail, reference may be made to the related descriptions of other embodiments.

It will be apparent to those skilled in the art that embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

The disclosed embodiments also provide a computer program product comprising computer software instructions which, when run on a processing device, cause the processing device to perform the flow of display unit control in the corresponding embodiments.

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 in accordance with embodiments of the present disclosure are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center by a wired (e.g., coaxial cable, fiber optic, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). Computer readable storage media can be any available media that can be stored by a computer or data storage devices such as servers, data centers, etc. that contain an integration of one or more available media. Usable media may be magnetic media (e.g., floppy disks, hard disks, magnetic tape), optical media (e.g., DVD), or semiconductor media (e.g., solid State Disk (SSD)) or the like.

It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.

In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. For example, the apparatus embodiments described above are merely illustrative, e.g., the division of elements is merely a logical functional division, and there may be additional divisions of actual implementation, e.g., multiple elements or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, which may be in electrical, mechanical or other form.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present disclosure may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units may be implemented in hardware or in software functional units.

The integrated units, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present disclosure may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a storage medium, including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods of the embodiments of the present disclosure. The storage medium includes a U disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, an optical disk, or other various media capable of storing program codes.

The foregoing embodiments are merely for illustrating the technical solutions of the present disclosure, and not for limiting the same, and although the present disclosure has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that modifications may be made to the technical solutions described in the foregoing embodiments or equivalents may be substituted for some of the technical features thereof, and such modifications or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present disclosure in essence.

Claims

1. A display unit control method, characterized by comprising:

Acquiring current gray scale information of each pixel in the display unit;

Acquiring a single-frame short-term residual image degree value of each pixel in each statistical period based on the current gray scale information and an initial state brightness and short-term residual image degree relation table of each pixel in each statistical period;

Determining a compensation gray scale value of each pixel based on the middle-short period residual image degree value of each pixel and the middle-short period residual image degree value and compensation gray scale relation table;

2. The display unit control method according to claim 1, wherein the cumulative statistical operation, the compensation gray-scale value determination, and the compensation operation are performed based on three basic color channels, respectively.

3. The method according to claim 1, wherein the specific step of determining the initial state luminance versus short-and-medium-term afterimage degree table includes:

normalizing the slope value in each basic color channel to obtain a middle-short period afterimage degree value corresponding to each basic color channel under different gray scales;

and establishing a relation table of the initial state brightness and the middle-short period residual image degree based on the middle-short period residual image degree values corresponding to all the color channels under different gray scales.

4. The method according to claim 1, wherein the specific step of determining the intermediate-short-term afterimage degree value and compensation gray scale relation table includes:

and establishing a middle-short-term afterimage degree value and compensation gray scale relation table based on gray scale compensation values of the three basic color channels under different display time and the maximum value of the short-term afterimage degree in unit time.

5. The display unit control method according to claim 1, characterized in that the method further comprises:

6. The method according to claim 5, wherein the step of obtaining the residual image level statistical value influence factor specifically includes:

And determining an afterimage degree statistical value influence factor of each basic color channel based on the medium-short period afterimage degree value and the afterimage degree statistical value influence factor table of each basic color channel, wherein the afterimage degree statistical value influence factor table comprises the corresponding relation between the medium-short period afterimage degree value and the afterimage degree statistical value influence factors of the three basic color channels.

7. The method according to claim 5, wherein the step of obtaining the last off-screen time influence factor specifically includes:

And determining the last screen-off time influence factor based on the last screen-off time and the influence degree table of the power-off screen-off time on the residual image.

8. The method for controlling a display unit according to claim 7, wherein the step of determining the power-off screen duration specifically includes:

acquiring first time information through an interface of a Tcon IC;

Under the condition that the display unit is powered on, acquiring second time information based on an interface of the Tcon IC;

9. The display unit control method according to claim 1, wherein the compensating the current gray-scale information of each pixel based on the compensated gray-scale value of each pixel includes:

10. The display unit control method according to any one of claims 1 to 9, characterized by further comprising:

11. A display unit control apparatus, characterized by comprising:

The second acquisition unit is used for acquiring a single-frame short-term residual image degree value of each pixel in each statistical period based on the current gray level information and the relation table of initial state brightness and the short-and-medium-term residual image degree of each pixel in each statistical period;

The third acquisition unit is used for carrying out accumulated statistics operation on the short-term residual image degree value in the single frame of each pixel in each statistics period so as to acquire the short-term residual image degree value of each pixel;

12. An electronic device comprising a memory and a processor, characterized in that the processor is adapted to carry out the steps of the display unit control method according to any one of claims 1-10 when executing a computer program stored in the memory.

13. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the display unit control method according to any one of claims 1-10.

14. A display device comprising the electronic apparatus of claim 12.