A display unit control method and related equipment

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

Technical Field

[0001] The present disclosure relates to the field of display devices, and more specifically, to a display unit control method and related equipment. Background Art

[0002] Display panels are widely used in modern life, covering televisions, mobile phones, computers, and other fields. The most popular display panels on the market today include LCD (Liquid Crystal Display) and OLED (Organic Light Emitting Display). Compared to LCD, OLED display panels are considered an emerging force in display technology due to their advantages, including self-luminescence, high brightness, high contrast, lightness, wide viewing angle, fast response time, customizable shapes, and low and high temperature resistance.

[0003] As market competition intensifies, consumers' demands for display panels continue to rise, particularly in terms of size, resolution, and production process. Due to process limitations in the manufacturing of OLED display panels, short-term, recoverable image sticking may occur when displaying similar content for extended periods. This sticking becomes noticeable when switching to other images, reducing the display panel's image quality and impacting the user experience. Summary of the Invention

[0004] The Summary of the Invention introduces a series of simplified concepts that will be further described in the Detailed Description of the Invention. The Summary of the Invention of this disclosure is not intended to limit the key features and essential technical features of the claimed technical solution, nor is it intended to determine the scope of protection of the claimed technical solution.

[0005] In a first aspect, the present disclosure provides a display unit control method, the method comprising:

[0006] Obtaining current grayscale information of each pixel in the display unit;

[0007] Based on the above current grayscale information of each pixel in each statistical period and the relationship table between initial state brightness and short- to medium-term afterimage degree, a single-frame short-term afterimage degree value of each pixel in each statistical period is obtained;

[0008] Performing cumulative statistical operations on the short- to medium-term afterimage degree values ​​of each pixel in each statistical period to obtain the short- to medium-term afterimage degree value of each pixel;

[0009] Determining the compensation grayscale value of each pixel based on the medium- and short-term afterimage degree value of each pixel and the medium- and short-term afterimage degree value and the compensation grayscale relationship table;

[0010] A compensation operation is performed on the current grayscale information of each pixel based on the compensated grayscale value of each pixel.

[0011] In a feasible implementation manner, the cumulative statistical operation, the compensation grayscale value determination, and the compensation operation are performed separately based on three basic color channels.

[0012] In a feasible implementation manner, the specific steps of determining the table of relationships between the initial state brightness and the short- to medium-term afterimage degree include:

[0013] Obtain the brightness percentage and display time data of the three basic color channels at different grayscales;

[0014] Select the brightness percentage and display time data of three basic color channels at different grayscales that are less than the preset display time, and calculate the slope value of the brightness percentage and display time curve;

[0015] Normalizing the slope values ​​in each basic color channel to obtain short- to medium-term afterimage values ​​corresponding to different grayscales in each basic color channel;

[0016] The above-mentioned relationship table between the initial state brightness and the medium- and short-term afterimage degree is established based on the medium- and short-term afterimage degree values ​​corresponding to all color channels at different grayscales.

[0017] In a feasible implementation manner, the specific steps of determining the relationship table between the short- to medium-term afterimage degree values ​​and the compensated grayscales include:

[0018] Obtain the brightness percentage and display time data of the three basic color channels at different grayscales;

[0019] Calculating grayscale compensation values ​​of the three basic color channels at different display times based on the grayscale reduction values ​​of the three basic color channels at different display times and the gamma value of the display unit;

[0020] Based on the grayscale compensation values ​​of the three basic color channels at different display times and the maximum short- to medium-term afterimage levels per unit time, a relationship table between the short- to medium-term afterimage level values ​​and the compensated grayscale is established.

[0021] In a feasible implementation manner, the above method further includes:

[0022] The above-mentioned short- to medium-term afterimage degree values ​​are corrected based on the afterimage degree statistical value influencing factor and the last screen-off time influencing factor to obtain corrected short- to medium-term afterimage degree values.

[0023] In a feasible implementation manner, the step of obtaining the influencing factor of the afterimage degree statistic value specifically includes:

[0024] Obtain the short- to medium-term afterimage degree values ​​of the three basic color channels respectively;

[0025] Based on the short- to medium-term afterimage degree values ​​and the afterimage degree statistical value influencing factor table of each basic color channel, the afterimage degree statistical value influencing factor of each basic color channel is determined, wherein the above-mentioned afterimage degree statistical value influencing factor table includes the correspondence between the short- to medium-term afterimage degree values ​​and the afterimage degree statistical value influencing factors of the three basic color channels.

[0026] In a feasible implementation manner, the step of obtaining the last screen off time influencing factor specifically includes:

[0027] Get the screen off duration and brightness change after power on again;

[0028] Based on the above power-off screen-off duration and the above power-on brightness change value, a table of the degree of influence of different power-off screen-off times on the afterimage is constructed;

[0029] The last screen-off time impact factor is determined based on the last screen-off time and the table of impact of the power-off screen-off time on the afterimage.

[0030] In a feasible implementation manner, the above-mentioned step of determining the power-off screen-off duration specifically includes:

[0031] Get the first-hand information through the Tcon IC interface;

[0032] Updating and storing the first time information in a target storage unit based on a preset period;

[0033] When the display unit is powered on, obtaining second time information based on the interface of the Tcon IC;

[0034] Based on the difference between the second time information and the first time information, the power-off screen-off duration is determined.

[0035] In a feasible implementation manner, the compensating operation on the current grayscale information of each pixel based on the compensated grayscale value of each pixel includes:

[0036] Based on the above-mentioned compensated grayscale value of each pixel, the minimum compensated grayscale value of the three basic color channels in all pixels is obtained respectively;

[0037] The current grayscale values ​​of the three basic color channels of each pixel are compensated respectively according to the minimum compensation grayscale value of the three basic color channels.

[0038] In a feasible implementation, it further includes:

[0039] The compensated grayscale value of each pixel is corrected according to the actual grayscale information and the backlight voltage difference.

[0040] In a second aspect, an embodiment of the present disclosure provides a display unit control device, comprising:

[0041] A first acquiring unit, configured to acquire current grayscale information of each pixel in the display unit;

[0042] A second acquiring unit is configured to acquire a single-frame short-term afterimage degree value of each pixel in each statistical period based on the current grayscale information of each pixel in each statistical period and a table of relationships between initial state brightness and short- to medium-term afterimage degrees;

[0043] A third acquiring unit is configured to perform a cumulative statistical operation on the short- to medium-term afterimage degree value of each pixel in each statistical period to acquire the short- to medium-term afterimage degree value of each pixel;

[0044] a determining unit, configured to determine a compensated grayscale value for each pixel based on the short- to medium-term afterimage value of each pixel and a table of relationships between the short- to medium-term afterimage value and the compensated grayscale;

[0045] The compensation unit is configured to perform a compensation operation on the current grayscale information of each pixel based on the compensated grayscale value of each pixel.

[0046] 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, wherein the processor is configured to implement the steps of the display unit control method of any one of the first aspects described above when executing the computer program stored in the memory.

[0047] In a fourth aspect, the present disclosure further proposes a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the display unit control method of any one of the first aspects is implemented.

[0048] In a fifth aspect, the present disclosure further proposes a display device, comprising the electronic device described in the third aspect.

[0049] In summary, the display unit control method of the embodiment of the present disclosure includes: obtaining the current grayscale information of each pixel in the above-mentioned display unit; obtaining the 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 the relationship table between the initial state brightness and the 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. The present disclosure can predict the medium- and short-term afterimage degree value of each pixel on the display in real time by establishing a medium- and short-term afterimage regularity model, and perform real-time compensation based on this. Compared with the traditional long-term afterimage improvement solution, the method proposed in the present disclosure is more suitable for solving the medium- and short-term afterimage problem, and can dynamically respond to changes in display content, thereby effectively reducing the occurrence of afterimages. By calculating and compensating for the short- to medium-term afterimages of each pixel in real time, the present disclosure can significantly improve the display quality of OLED displays, especially when displaying fixed images or commonly used office screens for a long time. It avoids the degradation of image quality caused by afterimages and provides users with a better visual experience. Most existing afterimage improvement technologies focus on compensating for long-term afterimages, while the present disclosure focuses on processing short- to medium-term afterimages. Taking into account the differences in the causes and characteristics of the formation of short- to medium-term afterimages and long-term afterimages, the present disclosure fills the gap in the existing technology by providing a compensation strategy specifically for short- to medium-term afterimages, thereby improving the pertinence and effectiveness of the technology. The method proposed in the present disclosure can adjust the compensation strategy in real time according to the dynamic changes in the displayed content, so that the afterimage weakening process is more in line with the needs of actual applications. This feature ensures that OLED displays can maintain high-quality display effects in various display scenarios. The present disclosure has been improved on the basis of the existing technology, and provides an effective improvement solution for the short- to medium-term afterimages of OLED display panels. It not only makes up for the shortcomings of traditional technologies, but also improves the overall performance and user experience of the display through real-time prediction and dynamic compensation.

[0050] The display unit control method proposed in the present disclosure, and other advantages, objectives and features of the present disclosure will be partially reflected in the following description, and will also be partially understood by those skilled in the art through research and practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Various other advantages and benefits will become apparent to those skilled in the art upon reading the detailed description of the preferred embodiment below. The accompanying drawings are for illustration purposes only and are not to be considered as limiting the present description. The same reference symbols are used throughout the drawings to represent the same components. In the drawings:

[0052] Figure 1 A schematic flow chart of a display unit control method provided by an embodiment of the present disclosure;

[0053] Figure 2 A corresponding relationship diagram between the G channel display time and brightness percentage proposed in the present disclosure;

[0054] Figure 3 A schematic diagram of the recovery of different aging grayscales proposed in the present disclosure at 255 grayscales after aging for 2 hours and with power-off time;

[0055] Figure 4 A schematic diagram illustrating a display unit control method proposed in the present disclosure;

[0056] Figure 5 A structural schematic diagram of a display unit control device provided by an embodiment of the present disclosure;

[0057] Figure 6 A structural diagram of a display unit control electronic device provided by an embodiment of the present disclosure;

[0058] Figure 7 A structural schematic diagram of a display device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0059] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or that are inherent to these processes, methods, products or devices. The technical solutions in the embodiments of the present disclosure will be clearly and completely described below in conjunction with the drawings in the embodiments of the present disclosure. Obviously, the embodiments described are only part of the embodiments of the present disclosure, not all of the embodiments.

[0060] See also Figure 1 , which is a flow chart of a display unit control method provided by an embodiment of the present disclosure, which may specifically include:

[0061] S110, obtaining current grayscale information of each pixel in the display unit;

[0062] For example, the current grayscale information of each pixel in the OLED display unit is obtained. The grayscale information reflects the brightness state of the pixel and is the basic data for the subsequent calculation of the short-term afterimage degree.

[0063] S120, obtaining a single-frame short-term afterimage degree value of each pixel in each statistical period based on the current grayscale information of each pixel in each statistical period and a table of relationships between initial state brightness and short- to medium-term afterimage degrees;

[0064] For example, within each statistical period, the system calculates a single-frame short-term afterimage value for each pixel based on the current grayscale information of each pixel and a table showing the relationship between initial brightness and short- to medium-term afterimage levels. This value represents the short-term afterimage effect caused by the pixel's display content in the current frame. The statistical period can be 1 second, 5 seconds, or 10 seconds, for example.

[0065] S130, performing a cumulative statistical operation on the short- to medium-term afterimage degree value of each pixel in each statistical period to obtain the short- to medium-term afterimage degree value of each pixel;

[0066] For example, the short-term afterimage degree value of each pixel in each statistical period is accumulated and statistically analyzed. By accumulating the influence of the short-term afterimage, a medium-term afterimage degree value is gradually formed, reflecting the dynamic process of the afterimage worsening over time.

[0067] S140, determining a compensation grayscale value for each pixel based on the short- to medium-term afterimage value of each pixel and a table of relationships between the short- to medium-term afterimage value and the compensation grayscale;

[0068] For example, after obtaining the short- to medium-term afterimage value for each pixel, the system determines the compensation grayscale value for each pixel based on the relationship table between the short- to medium-term afterimage value and the compensation grayscale. The compensation grayscale value is used to offset the afterimage effect and restore the normal display effect of the pixel.

[0069] S150 : performing a compensation operation on the current grayscale information of each pixel based on the compensated grayscale value of each pixel.

[0070] Exemplarily, based on the above-determined compensation grayscale value, a compensation operation is performed on the current grayscale information of each pixel, ensuring that the afterimage of each pixel can be effectively compensated, thereby improving the display quality of the entire display.

[0071] In summary, the present disclosure establishes a model for the regularity of short- to medium-term afterimages, enabling real-time prediction of the short- to medium-term afterimage levels for each pixel on a display and, based on this, real-time compensation. Compared to traditional long-term afterimage improvement solutions, the method proposed in the present disclosure is more suitable for resolving the short- to medium-term afterimage problem and can dynamically respond to changes in displayed content, thereby effectively reducing the occurrence of afterimages. By calculating and compensating for the short- to medium-term afterimages for each pixel in real time, the present disclosure can significantly improve the display quality of OLED displays, especially when displaying fixed images or commonly used office screens for extended periods of time. This avoids image quality degradation caused by afterimages, providing users with a better visual experience. While existing afterimage improvement technologies mostly focus on compensating for long-term afterimages, the present disclosure focuses on addressing short- to medium-term afterimages. Considering the differences in the causes and characteristics of short- to medium-term afterimages and long-term afterimages, the present disclosure fills a gap in the existing technology by developing a compensation strategy specifically for short- to medium-term afterimages, improving the relevance and effectiveness of the technology. The method proposed in the present disclosure can adjust the compensation strategy in real time based on the dynamic changes in displayed content, making the afterimage reduction process more in line with the needs of practical applications. This feature ensures that OLED displays maintain high-quality display effects in various display scenarios. This disclosure improves upon existing technologies and provides an effective solution for improving short-term image retention in OLED display panels. This not only addresses the shortcomings of traditional technologies but also enhances the overall performance and user experience of the display through real-time prediction and dynamic compensation.

[0072] In some examples, the cumulative statistical operation, the compensation grayscale value determination, and the compensation operation are performed separately based on three basic color channels.

[0073] Exemplarily, the cumulative statistical operation, the compensation grayscale value determination and the above compensation operation are performed separately on the three basic color channels of RGB, ensuring that the afterimage of each color channel can be effectively compensated, thereby improving the display quality of the entire display.

[0074] In some examples, the specific steps of determining the table of relationships between initial state brightness and short- to medium-term afterimage levels include:

[0075] Obtain the brightness percentage and display time data of the three basic color channels at different grayscales;

[0076] Select the brightness percentage and display time data of three basic color channels at different grayscales that are less than the preset display time, and calculate the slope value of the brightness percentage and display time curve;

[0077] Normalizing the slope values ​​in each basic color channel to obtain short- to medium-term afterimage values ​​corresponding to different grayscales in each basic color channel;

[0078] The above-mentioned relationship table between the initial state brightness and the medium- and short-term afterimage degree is established based on the medium- and short-term afterimage degree values ​​corresponding to all color channels at different grayscales.

[0079] For example, the brightness percentage and display time data of the three basic color channels (R / G / B) in the display unit at different grayscales are obtained respectively. By testing multiple grayscales, the accuracy of the data can be improved. Figure 2 This is the corresponding relationship diagram of the G channel display time and brightness percentage. Select the brightness percentage and display time data of the three basic color channels at different grayscales that are less than the preset display time, and calculate the slope value of the brightness percentage and display time curve, such as Figure 2 The data value circled in the middle. This slope value reflects the speed at which the display content affects the formation of afterimages at different grayscales.

[0080] In each basic color channel, the slope values ​​are normalized to obtain the short- to medium-term afterimage values ​​corresponding to each basic color channel at different grayscales. This normalization ensures that afterimage values ​​across different color channels can be compared and applied using the same standard.

[0081] A table showing the relationship between initial state brightness and short- to medium-term afterimage levels is established, as shown in Table 1:

[0082] 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

[0083] Table 1

[0084] Based on the short- to medium-term afterimage values ​​corresponding to all color channels at different grayscales, a table of the relationship between initial state brightness and short- to medium-term afterimage levels is established. Table 1 is an important basis for the real-time compensation operation of this scheme. The table contains the afterimage values ​​of the three basic color channels at each grayscale. The table of the relationship between initial state brightness and short- to medium-term afterimage levels contains the short- to medium-term afterimage values ​​corresponding to the three color channels R / G / B at each grayscale. The data in the table of the relationship between initial state brightness and short- to medium-term afterimage levels are normalized, and the maximum value is normalized to 255. For example, if the slope of the brightness change curve of G255 is 3 times that of G128, then in Table 1, the value of G255 is 255, while the value of G128 is 255 / 3=85.

[0085] Through the above steps, this solution effectively establishes a relationship table between different grayscales and short- to medium-term afterimage levels, and in practical applications, the short- to medium-term afterimage level values ​​are accumulated and counted through the table.

[0086] In some examples, the specific steps of determining the relationship table between the short- to medium-term afterimage level values ​​and the compensated grayscales include:

[0087] Obtain the brightness percentage and display time data of the three basic color channels at different grayscales;

[0088] Calculating grayscale compensation values ​​of the three basic color channels at different display times based on the grayscale reduction values ​​of the three basic color channels at different display times and the gamma value of the display unit;

[0089] Based on the grayscale compensation values ​​of the three basic color channels at different display times and the maximum short- to medium-term afterimage levels per unit time, a relationship table between the short- to medium-term afterimage level values ​​and the compensated grayscale is established.

[0090] For example, the brightness percentage and display time data of the three basic color channels (R / G / B) in the display unit at different grayscales are obtained. This data is the basis for establishing the relationship between the degree of afterimage and compensation. By independently measuring different color channels, the accuracy of the data is ensured.

[0091] Based on the grayscale reduction values ​​of the three basic color channels at different display times and the gamma value of the display unit, the grayscale compensation values ​​of the three basic color channels at different display times are calculated. The grayscale reduction value reflects the degree of pixel brightness attenuation, while the gamma value is used to adjust the relationship between brightness and grayscale.

[0092] For example, according to Figure 2 For example, if the brightness change data of grayscale 255 is counted once every minute, after 18.27 hours, the brightness drops from grayscale 255 to grayscale 253.37. The compensation value offset is (0.986^(1 / 2.2)*255=1.62, where 2.2 is the gamma value of the display unit.

[0093] Based on the grayscale compensation values ​​of the three basic color channels at different display times calculated above and the maximum short- to medium-term afterimage level per unit time (i.e., the maximum short- to medium-term afterimage level for 255 grayscale data), a relationship table between short- to medium-term afterimage level values ​​and compensated grayscale is established. This table is used to guide compensation operations, dynamically adjusting the grayscale value of each pixel during display operation to reduce the impact of afterimages.

[0094] In practical applications, assuming a 24-bit bit width for the statistical value, the maximum statistical value is 2^24. If the grayscale counted is 255 and each frame is counted, at a 60Hz refresh rate, the statistical value will reach its maximum value within 18.27 minutes. To accommodate practical applications, this solution sets the statistical value to be counted once a minute, so that the statistical value reaches its maximum value within 18.27 hours. Since short- and medium-term afterimages generally stabilize over a few hours, compensation is mainly sufficient for the first few hours.

[0095] Through the above statistics and calculation methods, the compensated grayscale values ​​(offset values) at different time points are obtained, as shown in Table 2. These offset values ​​are based on the actual changes in the test data. After a long power outage, the statistical value will be updated to a very small value, or even 0, indicating that the afterimage has disappeared, and the offset value will be adjusted to 0 accordingly.

[0096] 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

[0097] Table 2

[0098] This invention statistically calculates the extent of short- and medium-term afterimages at different grayscales within the display unit, establishes a relationship table between these values ​​and compensated grayscales, and applies these compensation values ​​during actual display. This effectively improves the short- and medium-term afterimage problem in OLED displays and enhances display quality, especially when displaying similar content for extended periods. This solution fully considers the dynamic nature of short- and medium-term afterimages and significantly enhances the user's visual experience through precise compensation.

[0099] In some examples, the method further includes:

[0100] The above-mentioned short- to medium-term afterimage degree values ​​are corrected based on the afterimage degree statistical value influencing factor and the last screen-off time influencing factor to obtain corrected short- to medium-term afterimage degree values.

[0101] For example, the afterimage level statistical value impact factor is used to reflect the impact of the display content on the short- to medium-term afterimage level within a specific time period. This impact factor can be determined based on factors such as the characteristics of the displayed content, display duration, and brightness variation patterns. When calculating the short- to medium-term afterimage level, the afterimage level statistical value impact factor is introduced to correct the result. This correction can more accurately reflect the actual afterimage situation under different display conditions, thereby improving the accuracy of compensation.

[0102] The Last Screen Off Time Impact Factor reflects the impact of the display's last screen-off time on the current short- to medium-term afterimage value. The longer the screen-off time, the more pronounced the afterimage effect may be. Therefore, this factor is used to adjust the afterimage value to better reflect the display's current actual afterimage state. When calculating or correcting the short- to medium-term afterimage value, the Last Screen Off Time Impact Factor is incorporated to dynamically adjust the statistical results. This process takes into account the device's historical usage, making the compensation value more targeted.

[0103] By correcting these two influencing factors, the resulting short- to medium-term afterimage severity values ​​more closely reflect the display's actual afterimage state. The specific calculation method may involve weighting, adjusting, or applying a correction formula to the original statistical values. The corrected short- to medium-term afterimage severity values ​​are used in the final compensation grayscale calculation. This correction more accurately reflects the display's current afterimage severity, thereby improving compensation effectiveness and ensuring optimal display quality in various usage scenarios.

[0104] In some examples, the step of obtaining the influencing factor of the afterimage degree statistic specifically includes:

[0105] Obtain the short- to medium-term afterimage degree values ​​of the three basic color channels respectively;

[0106] Based on the short- to medium-term afterimage degree values ​​and the afterimage degree statistical value influencing factor table of each basic color channel, the afterimage degree statistical value influencing factor of each basic color channel is determined, wherein the above-mentioned afterimage degree statistical value influencing factor table includes the correspondence between the short- to medium-term afterimage degree values ​​and the afterimage degree statistical value influencing factors of the three basic color channels.

[0107] For example, according to the contents of Table 1, the signal to be displayed in each frame is searched by RGB grayscale. Figure 3 The table is used to determine the afterimage contribution value corresponding to each gray level.

[0108] For example, taking the G channel as an example, pixel A initially displays grayscale 255, and pixel B initially displays grayscale 128. The current short- to medium-term afterimage values ​​of pixels A and B are:

[0109] accum_A=accum_A+255

[0110] accum_B=accum_B+85

[0111] Assuming that the grayscale of the next frame is 250 and 254 respectively, the updated afterimage value is:

[0112] accum_A=accum_A+175

[0113] accum_B=accum_B+251

[0114] In this way, the short- to medium-term afterimage value of each pixel is calculated and updated every frame.

[0115] At the same gray scale, the short-term and medium-term afterimage degrees of different pixels may be different. Therefore, a statistical coefficient factor k1 affecting the afterimage degree is introduced for correction. The k1 factor reflects the characteristics of the faster change of the previous afterimage and the stable tendency of the later afterimage. The table of factors affecting the statistical value of the afterimage degree is shown in Table 3, and Table 3 includes the corresponding relationship between the short-term and medium-term afterimage degree values and the factors affecting the statistical values of the afterimage degrees of the three basic color channels.

[0116] 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

[0117] Table 3

[0118] For example, pixel A displays gray scale 255 for a long time, and pixel B displays gray scale 128 for a long time. After a period of time, assume:

[0119] accum_A = 2^21

[0120] accum_B = 2^18

[0121] When these two pixels switch to the same gray scale 250, the update method of the afterimage degree value is:

[0122] accum_A = accum_A + 175 * k1_A

[0123] accum_B = accum_B + 175 * k1_B

[0124] By looking up Table 3:

[0125] Assume k1_A = 0.71 (when accum_A = 2^21)

[0126] Assume k1_B = 0.95 (when accum_B = 2^18) [[ID=�5]]

[0127] If the value of accum_A is between two nodes (such as 2^20 < accum_A < 2^21), the exact value of k1_A is obtained by interpolation calculation.

[0128] The method proposed in this embodiment realizes the accurate correction of the short-term and medium-term afterimage degrees of different pixels by introducing the factor k1 affecting the statistical value of the afterimage degree. This correction process takes into account the dynamic change characteristics of afterimage accumulation, making the compensation more targeted and effective. Finally, in combination with the table of factors affecting the statistical value of the afterimage degree, the correction coefficients of each color channel are determined, improving the accuracy of short-term and medium-term afterimage compensation and the display quality of the OLED display.

[0129] In some examples, the specific steps for obtaining the above-mentioned factor affecting the last screen-off time specifically include: "

[0130] Obtain the power-off screen-off duration and the brightness change value when powering on again;

[0131] Based on the above power-off screen-off duration and the above power-on brightness change value, a table of the degree of influence of different power-off screen-off times on the afterimage is constructed;

[0132] The last screen-off time impact factor is determined based on the last screen-off time and the table of impact of the power-off screen-off time on the afterimage.

[0133] For example, when the display unit is powered off, the duration of the screen off is recorded. After powering back on, the brightness change of the display is measured and recorded. The brightness change value reflects the degree to which the screen off time reduces the residual image.

[0134] Based on the above power-off screen time and the brightness change value after powering on again, a table of the degree of influence of the power-off screen time on the afterimage is constructed. The table is shown in Table 4, which is used to represent the k2 values ​​corresponding to different screen-off times. These k2 values ​​refer to the actual test data such as Figure 3 Set up as shown.

[0135] Accum k2 0 0 5min 0.78 10min 0.51 20min 0.20 60min 0.05 120 minutes 0 240 minutes 0

[0136] Table 4

[0137] When the display unit is powered on again, the system will read the current time, compare it with the power-off time, obtain the screen-off time, and look up the table of the degree of influence of the power-off time on the afterimage based on the screen-off time to determine the corresponding k2 value.

[0138] After considering the impact of screen off time, the cumulative statistical afterimage level value needs to be corrected. Specifically, the calculation formula for the cumulative afterimage level value is:

[0139] accum_A=accum_A+175*k1_A*k2

[0140] k1_A is a correction factor based on the degree of afterimage, while k2 is a correction factor based on the duration of the last screen off. By combining these two factors, the final afterimage value more accurately reflects the current state of the display.

[0141] As shown in Figure 3 As shown in the figure, it is a schematic diagram of the recovery of different aging grayscales after aging for 2 hours and with power-off time at 255. Figure 3 The test data shown here shows different grayscales (e.g., 64, 128, and 255) undergoing a two-hour burn-in period. The results were then tested with multiple power cycles, confirming the effect of screen-off duration on image retention. Since the effects of screen-off duration on different grayscales vary slightly, the k2 value for all grayscales can be used uniformly.

[0142] Based on the above test data, the corresponding time nodes are used to determine the k2 value corresponding to each time period when constructing Table 4. These values ​​can be obtained by looking up the table and used to correct the accumulated afterimage degree value.

[0143] This disclosed embodiment further improves the accuracy of short- to medium-term afterimage compensation by introducing a correction factor, k2, based on the impact of the last screen-off time. This factor dynamically adjusts the accumulated afterimage level based on the duration of the screen-off time, ensuring that the compensation is more consistent with actual display usage. Ultimately, by combining the corrections for k1 and k2, short- to medium-term afterimages in OLED displays are better controlled and compensated, improving display quality and user experience.

[0144] In some examples, the step of determining the power-off screen-off duration specifically includes:

[0145] Get the first-hand information through the Tcon IC interface;

[0146] Updating and storing the first time information in a target storage unit based on a preset period;

[0147] When the display unit is powered on, obtaining second time information based on the interface of the Tcon IC;

[0148] Based on the difference between the second time information and the first time information, the power-off screen-off duration is determined.

[0149] Exemplarily, the system obtains the currently displayed time information in real time through the interface of the Tcon IC (such as the eDP protocol), which is recorded as the first time information. This time information reflects the state of the display before power failure. The system updates and stores the first time information in the target storage unit (such as the Flash storage unit) according to a preset period (for example, every 2 minutes). This operation ensures that the system can record the latest time information when power is off. When the display unit is powered on again, the system obtains the current time information through the Tcon IC interface again, which is recorded as the second time information. This time information is used to compare with the first time information before power failure. Each time the power is turned on, the power-on flag Power_Flag is set to 1, and the k2 value is calculated and updated. After calculating the k2 value, Power_Flag is set to 0. The time information obtained through the Tcon IC interface will be updated and stored regularly so that the screen off time can be calculated when the power is turned on again after the power is turned off. Based on the calculated screen off time, the system adjusts the k2 value to accurately correct the afterimage degree value of each pixel during the display process.

[0150] In some examples, performing the compensation operation on the current grayscale information of each pixel based on the compensated grayscale value of each pixel includes:

[0151] Based on the above-mentioned compensated grayscale value of each pixel, the minimum compensated grayscale value of the three basic color channels in all pixels is obtained respectively;

[0152] The current grayscale values ​​of the three basic color channels of each pixel are compensated respectively according to the minimum compensation grayscale value of the three basic color channels.

[0153] For example, in the above embodiment, a corresponding compensated grayscale value has been calculated for each pixel. For example, the compensated grayscale value of pixel A is 2.01 grayscale, while the compensated grayscale value of pixel B is 0.25 grayscale. The compensated grayscale values ​​of all pixels are compared to determine the minimum compensated grayscale value. In the above example, the grayscale of 0.25 for pixel B is the minimum value.

[0154] Based on the minimum compensation grayscale value, calculate the actual compensation grayscale values ​​of other pixels. Specifically, the actual compensation grayscale value of pixel A is:

[0155] Actual compensation grayscale value_A=2.01-0.25=1.76 grayscale

[0156] For pixel B, since its compensated grayscale value is the minimum value, its actual compensated grayscale value is 0 grayscale.

[0157] By subtracting the minimum compensation grayscale value, this compensation strategy reduces unnecessary compensation, thereby conserving compensation grayscale. This not only reduces the overall compensation intensity but also preserves more compensation headroom during subsequent display processes, improving long-term compensation effectiveness. This method ensures that compensation is primarily applied to pixels with significant afterimages, while reducing or eliminating compensation for pixels with less severe afterimages, resulting in a more uniform and effective compensation effect.

[0158] The disclosed embodiments achieve precise compensation for short-term image retention in OLED displays by calculating and executing a grayscale compensation strategy based on the pixel with the lowest image retention value. This approach effectively conserves grayscale compensation, ensures good results throughout the compensation process, and adapts to the dynamic changes in image retention, ultimately improving display quality and user experience.

[0159] In some examples, this also includes:

[0160] The compensated grayscale value of each pixel is corrected according to the actual grayscale information and the backlight voltage difference.

[0161] For example, to further improve compensation accuracy, in addition to the grayscale compensation values ​​in the aforementioned steps, each pixel's grayscale compensation value needs to be corrected based on the actual grayscale information and the backlight voltage difference (DBV). By introducing the grayscale coefficient k3 and the DBV coefficient k4, the system can correct for the degree of afterimages at different grayscales and DBVs, making compensation more accurate.

[0162] The above embodiment has calculated a compensation grayscale value for grayscale 255 under a specific DBV. For example, the compensation grayscale value of pixel A is 1.76 grayscale, which is the compensation result based on grayscale 255 under a fixed DBV condition.

[0163] Grayscale coefficient k3 is used to correct for variations in short- to medium-term afterimages at different grayscale levels. The degree of pixel afterimages varies at different grayscale levels, so the grayscale coefficient k3 is used to adjust the compensated grayscale. Assuming pixel A actually displays a grayscale of 128, the k3 value can be set by selecting several nodes based on testing and debugging results. In this case, the compensated grayscale value of pixel A needs to be multiplied by k3 to achieve the desired correction.

[0164] The backlight voltage (DBV) coefficient, k4, reflects the effect of image retention under different DBV conditions. Different backlight voltages affect screen brightness and image retention, so k4 is needed to further adjust the compensated grayscale value. Assuming pixel A is under 50% DBV, the k4 value is set based on the debugging results to correct for the image retention caused by DBV.

[0165] After correction of the grayscale coefficient k3 and the DBV coefficient k4, the actual compensation grayscale value of pixel A is calculated as follows:

[0166] Actual compensation grayscale = 128 + 1.76*k3*k4

[0167] In this formula, 128 is the actual grayscale value currently displayed by pixel A, and 1.76 is the initial compensation value based on 255 grayscale and a specific DBV. It is corrected by multiplying the grayscale coefficient k3 and the DBV coefficient k4 to make the compensation value more consistent with the current display conditions.

[0168] By compensating and correcting the afterimages under different grayscale and DBV conditions, the present disclosure can effectively improve the accuracy of compensation. The introduction of the grayscale coefficient k3 and the DBV coefficient k4 ensures that the compensated grayscale can dynamically adapt to the brightness and grayscale changes of the display, reducing the visual differences caused by the afterimage. The values ​​of k3 and k4 are determined through actual testing and debugging results, and the coefficients can be set by selecting several key nodes to ensure that the compensation can adapt to different display states. The embodiment of the present disclosure corrects the compensated grayscale of each pixel by introducing the grayscale coefficient k3 and the DBV coefficient k4, making the compensation effect more accurate. Adjustments are made based on the actual grayscale information and the backlight voltage difference to ensure that each pixel can obtain the best compensation under different grayscale and DBV conditions, thereby effectively improving the short- and medium-term afterimage problems of the OLED display and improving the display quality and user experience.

[0169] This paper proposes an effective solution for improving short-term image retention in OLED display panels. By predicting and compensating for the short-term image retention level of each pixel in real time, it significantly improves display quality and user experience. The following are the core steps and features of this solution:

[0170] In some examples, such as Figure 4 , which is a schematic diagram of the principle of the display unit control method proposed in the present disclosure:

[0171] The control method proposed in the present disclosure first obtains the current grayscale information of each pixel in the OLED display unit as basic data for calculating the degree of short-term and medium-term afterimages.

[0172] Based on the current grayscale information and the table of relationships between initial brightness and short- to medium-term afterimage levels within each statistical cycle, a single-frame short-term afterimage level is calculated for each pixel. This level reflects the afterimage impact of the pixel in the current frame. By accumulating the single-frame short-term afterimage levels calculated within each statistical cycle, a short- to medium-term afterimage level is gradually formed, reflecting the dynamic process of increasing afterimage intensity over time. This short- to medium-term afterimage level is corrected based on the afterimage level statistical value influence factor k1 and the last screen-off time influence factor k2.

[0173] According to the revised short- to medium-term afterimage degree value and compensation grayscale relationship table, the system determines the compensation grayscale value for each pixel to offset the afterimage effect and restore the normal display effect of the pixel.

[0174] The actual compensation grayscale value of each pixel is calculated based on the pixel with the smallest afterimage value. This reduces unnecessary compensation and optimizes the compensation effect, especially leaving more compensation space in the subsequent display process.

[0175] To further improve compensation accuracy, this solution modifies the compensated grayscale value based on the actual grayscale information and the backlight voltage difference (DBV). By introducing the grayscale coefficient k3 and the DBV coefficient k4, the compensated grayscale is dynamically adjusted to better match the current display conditions.

[0176] The method proposed in the present disclosure can dynamically adjust the compensation strategy according to the changes in the display content and the different display conditions, thereby reducing the visual differences caused by the afterimage. Through multiple strategies such as grayscale and DBV correction, and correction of the impact of screen off time, the compensation effect is ensured to be more accurate. It effectively improves the short- and medium-term afterimage problem of OLED displays, especially when displaying fixed images or commonly used office screens for a long time, significantly improving the display quality and user experience. Through a series of precise calculations and correction operations, the present disclosure makes up for the shortcomings of traditional long-term afterimage compensation technology, and provides a more effective short- and medium-term afterimage improvement solution for OLED display panels.

[0177] See also Figure 5 , a structural diagram of a display unit control device provided by an embodiment of the present disclosure may include:

[0178] A first acquiring unit 21 is configured to acquire current grayscale information of each pixel in the display unit;

[0179] The second acquiring unit 22 is configured to acquire a single-frame short-term afterimage degree value of each pixel in each statistical period based on the current grayscale information of each pixel in each statistical period and a table of relationships between initial state brightness and short- to medium-term afterimage degrees;

[0180] The third acquiring unit 23 is configured to perform a cumulative statistical operation on the short- to medium-term afterimage degree value of each pixel in each statistical period to acquire the short- to medium-term afterimage degree value of each pixel;

[0181] a determination unit 24 for determining a compensation grayscale value for each pixel based on the short- to medium-term afterimage value of each pixel and a table of relationships between the short- to medium-term afterimage value and the compensation grayscale;

[0182] The compensation unit 25 is configured to perform a compensation operation on the current grayscale information of each pixel based on the compensated grayscale value of each pixel.

[0183] like Figure 6 As shown, an embodiment of the present disclosure also 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. When the processor 320 executes the computer program 311, the steps of any of the above-mentioned display unit control methods are implemented.

[0184] like Figure 7 As shown, an embodiment of the present disclosure further provides a display device 30, including an electronic device 300, the electronic device including a memory 310, a processor 320 and a computer program 311 stored in the memory 310 and executable on the processor, and the processor 320 implements the steps of any of the above-mentioned display unit control methods when executing the computer program 311.

[0185] Since the electronic device introduced in this embodiment is a device used to implement a display unit control device in the embodiment of the present disclosure, based on the method introduced in the embodiment of the present disclosure, technical personnel in this field can understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present disclosure will not be introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present disclosure falls within the scope of protection to be protected by this disclosure.

[0186] During the specific implementation process, when the computer program 311 is executed by the processor, any implementation method of the embodiments corresponding to the first aspect can be implemented.

[0187] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0188] Those skilled in the art will appreciate that the embodiments of the present disclosure may be provided as methods, systems, or computer program products. Therefore, the present disclosure may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present disclosure may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0189] The present disclosure is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present disclosure. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0190] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0191] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0192] The embodiments of the present disclosure further provide a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the process of display unit control in the corresponding embodiment.

[0193] A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the process or function according to the embodiment of the present disclosure is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can 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 can be transmitted from one website, computer, server or data center to another website, computer, server or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or data center that includes one or more available media integrated. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)).

[0194] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0195] In the several embodiments provided in the present disclosure, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are merely schematic. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0196] Units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0197] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0198] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present disclosure is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the various embodiments of the present disclosure. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, and other media that can store program code.

[0199] The above embodiments are only used to illustrate the technical solutions of the present disclosure, rather than to limit them. Although the present disclosure has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present disclosure.

Claims

1. A display unit control method, characterized in that: include: Obtaining current grayscale information of each pixel in the display unit; Based on the current grayscale information of each pixel in each statistical period and the relationship table between the initial state brightness and the short- to medium-term afterimage degree, obtaining a single-frame short-term afterimage degree value of each pixel in each statistical period; Performing a cumulative statistical operation on the short- to medium-term afterimage degree value of each pixel in each statistical period to obtain the short- to medium-term afterimage degree value of each pixel; Determining a compensation grayscale value for each pixel based on the short- to medium-term afterimage degree value of each pixel and a relationship table between the short- to medium-term afterimage degree value and the compensation grayscale; A compensation operation is performed on the current grayscale information of each pixel based on the compensated grayscale value of each pixel.

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

3. The display unit control method according to claim 1, wherein: The specific steps of determining the relationship table between the initial state brightness and the short- to medium-term afterimage degree include: Obtain the brightness percentage and display time data of the three basic color channels at different grayscales; Select the brightness percentage and display time data of three basic color channels at different grayscales that are less than the preset display time, and calculate the slope value of the brightness percentage and display time curve; Normalizing the slope value in each basic color channel to obtain short- to medium-term afterimage degree values ​​corresponding to different grayscales in each basic color channel; The relationship table between the initial state brightness and the short- to medium-term afterimage degree is established based on the short- to medium-term afterimage degree values ​​corresponding to all color channels at different grayscales.

4. The display unit control method according to claim 1, wherein: The specific steps of determining the relationship table between the short- to medium-term afterimage degree value and the compensation grayscale include: Obtain the brightness percentage and display time data of the three basic color channels at different grayscales; Calculating grayscale compensation values ​​of the three basic color channels at different display times based on the grayscale reduction values ​​of the three basic color channels at different display times and the gamma value of the display unit; Based on the grayscale compensation values ​​of the three basic color channels at different display times and the maximum values ​​of the medium- and short-term afterimage levels per unit time, a relationship table between the medium- and short-term afterimage level values ​​and the compensated grayscale is established.

5. The display unit control method according to claim 1, wherein: The method further comprises: The short- to medium-term afterimage degree value is corrected based on the afterimage degree statistical value influencing factor and the last screen-off time influencing factor to obtain a corrected short- to medium-term afterimage degree value.

6. The display unit control method according to claim 5, characterized in that: The step of obtaining the influencing factor of the afterimage degree statistic value specifically includes: Obtain the short- to medium-term afterimage degree values ​​of the three basic color channels respectively; Based on the short- to medium-term afterimage degree values ​​of each basic color channel and the afterimage degree statistical value influencing factor table, the afterimage degree statistical value influencing factor of each basic color channel is determined, wherein the afterimage degree statistical value influencing factor table includes the correspondence between the short- to medium-term afterimage degree values ​​and the afterimage degree statistical value influencing factors of the three basic color channels.

7. The display unit control method according to claim 5, wherein: The step of obtaining the last screen off time influencing factor specifically includes: Get the screen off duration and brightness change after power on again; Constructing a table of the degree of influence of different power-off and screen-off times on afterimages based on the power-off and screen-off time durations and the brightness change value after power-on again; The last screen-off time impact factor is determined based on the last screen-off time and the table of impact levels of the power-off screen-off time on the afterimage.

8. The display unit control method according to claim 7, wherein: The step of determining the power-off screen-off duration specifically includes: Get the first-hand information through the Tcon IC interface; updating and storing the first time information in a target storage unit based on a preset period; When the display unit is powered on, acquiring second time information based on the interface of the Tcon IC; The power-off screen-off duration is determined based on the difference between the second time information and the first time information.

9. The display unit control method according to claim 1, wherein: The compensating operation on the current grayscale information of each pixel based on the compensated grayscale value of each pixel includes: Based on the compensated grayscale value of each pixel, obtaining the minimum compensated grayscale value of the three basic color channels in all pixels respectively; Compensation operations are performed on the current grayscale values ​​of the three basic color channels of each pixel according to the minimum compensation grayscale value of the three basic color channels.

10. The display unit control method according to any one of claims 1 to 9, characterized in that: Also includes: The compensated grayscale value of each pixel is corrected according to the actual grayscale information and the backlight voltage difference.

11. A display unit control device, characterized in that: include: a first acquiring unit, configured to acquire current grayscale information of each pixel in the display unit; A second acquiring unit is configured to acquire a single-frame short-term afterimage degree value of each pixel in each statistical period based on the current grayscale information of each pixel in each statistical period and a table of relationships between initial state brightness and short- to medium-term afterimage degrees; a third acquiring unit, configured to perform a cumulative statistical operation on the short- to medium-term afterimage degree value of each pixel in each statistical period to acquire the short- to medium-term afterimage degree value of each pixel; a determining unit, configured to determine a compensated grayscale value for each pixel based on the short- to medium-term afterimage value of each pixel and a table showing a relationship between the short- to medium-term afterimage value and the compensated grayscale; The compensation unit is configured to perform a compensation operation on the current grayscale information of each pixel based on the compensated grayscale value of each pixel.

12. An electronic device comprising: A memory and a processor, wherein the processor is configured to implement the steps of the display unit control method according to any one of claims 1 to 10 when executing a computer program stored in the memory.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the display unit control method according to any one of claims 1 to 10 are implemented.

14. A display device, characterized in that: The electronic device comprising claim 12.

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