Image sticking improvement method, image sticking improvement device, and computer readable medium

Abstract

The application relates to a residual image improvement method, a residual image improvement device and a computer readable medium, the method comprising: acquiring a picture staying time length of a same to-be-tested region in a dynamic picture; determining a to-be-improved region according to the picture staying time length; inserting at least one black picture or at least one white picture after a to-be-improved picture of the to-be-improved region to obtain an improved picture; and determining whether to display the improved picture according to a brightness difference between the to-be-improved picture and the improved picture. The to-be-improved region is determined according to the picture staying time length, at least one black picture or at least one white picture is inserted after the to-be-improved picture of the to-be-improved region, then whether to display the improved picture is determined according to the brightness difference between the to-be-improved picture and the improved picture, the application can accurately locate the region of the residual image level, improve the accuracy of residual image improvement, quickly achieve the effect of ion release, and improve the efficiency of residual image improvement.

Description

Technical Field

[0001] The present application relates to the field of panel display technology, and in particular to an afterimage improvement method, an afterimage improvement device, and a computer-readable medium. Background Art

[0002] Image sticking (IS) is a phenomenon in which a display displays a static image for an extended period of time, leaving a residual image of the previous static image on the next display after the static image is changed. This phenomenon is particularly common in LCDs. It is primarily caused by ionic impurities in the liquid crystal cell and DC bias voltage.

[0003] In related art, to test image sticking, a black and white checkerboard pattern is displayed on an LCD monitor for a period of time, then switched to an L127 grayscale image. The extent of image sticking in the L127 grayscale image is then determined. Alternatively, after displaying the black and white checkerboard pattern for a period of time, the monitor is turned off and ionized, and the extent of image sticking in the L64 or L127 grayscale image is then determined.

[0004] However, with the continuous advancement of display technology, the required afterimage standards are becoming increasingly stringent. For example, some products are required to achieve a Just Noticeable Difference (JND) of no more than 2.3 at the L64 grayscale. However, bottlenecks in the development of materials, devices, and processes have made further improvements in afterimage levels difficult. Summary of the Invention

[0005] In view of this, the present application proposes a method for improving afterimages, a device for improving afterimages, and a computer-readable medium, which can accurately locate the area of ​​afterimage level, improve the accuracy of afterimage improvement, quickly achieve the effect of ion release, and improve the efficiency of afterimage improvement.

[0006] According to one aspect of the present application, a method for improving afterimages is provided, comprising: obtaining the duration of image retention in the same area to be tested in a dynamic image; determining the area to be improved based on the duration of image retention; inserting at least one black image or at least one white image after the image to be improved in the area to be improved to obtain an improved image; and determining whether to display the improved image based on the brightness difference between the image to be improved and the improved image.

[0007] In one embodiment, obtaining the screen dwell time of the same area to be measured in the dynamic image includes: obtaining multiple current original pixel grayscales in the area to be measured; and detecting the screen dwell time of the original pixel grayscales.

[0008] In an embodiment, the determining the region to be improved according to the frame dwell time comprises: judging whether the frame dwell time is greater than or equal to a preset time threshold; if the frame dwell time is greater than or equal to the preset time threshold, determining a pixel region greater than or equal to the time threshold as the region to be improved; and if the frame dwell time is less than the preset time threshold, determining a pixel region less than the time threshold as a normal display region.

[0009] In an embodiment, the inserting at least one black frame or at least one white frame in the frame to be improved in the region to be improved to obtain an improved frame comprises: reading an original driving time sequence of the frame to be improved, the original driving program being used to drive the region to be improved to display the frame to be improved in a first time period; reading an insertion program after the original driving program, the insertion program being used to drive the region to be improved to display at least one black frame or at least one white frame in a second time period after the first time period; and re-reading the original driving program to drive the region to be improved in a third time period after the second time period to obtain an improved frame.

[0010] In an embodiment, the insertion program comprises a black insertion program and a white insertion program, and the reading the insertion program after the original driving program comprises: reading the black insertion program after the original driving program, the black insertion program being used to drive the region to be improved to display at least one black frame in a black insertion time period after the first time period; and reading the white insertion program after the black insertion program, the white insertion program being used to drive the region to be improved to display at least one white frame in a white insertion time period after the black insertion time period.

[0011] In an embodiment, the determining whether to display the improved frame according to a brightness difference between the frame to be improved and the improved frame comprises: judging whether the brightness difference between the frame to be improved and the improved frame is greater than or equal to a preset brightness threshold; if the brightness difference between the frame to be improved and the improved frame is greater than or equal to the preset brightness threshold, adjusting a number of the inserted black frames or white frames, updating the improved frame until the brightness difference between the frame to be improved and the improved frame is less than the preset brightness threshold; and if the brightness difference between the frame to be improved and the improved frame is less than the preset brightness threshold, displaying the improved frame.

[0012] In an embodiment, the determining whether the luminance difference between the to-be-improved picture and the improved picture is greater than or equal to a preset luminance threshold comprises: obtaining a plurality of first luminance values of a plurality of to-be-improved pixels of the to-be-improved picture, and averaging the plurality of first luminance values to obtain a first average luminance value; obtaining a plurality of second luminance values of a plurality of improved pixels of the improved picture, and averaging the plurality of second luminance values to obtain a second average luminance value; and taking an absolute value of a difference between the first average luminance value and the second average luminance value as the luminance difference between the to-be-improved picture and the improved picture.

[0013] In an embodiment, the determining whether to display the improved picture according to the luminance difference between the to-be-improved picture and the improved picture further comprises: obtaining a preset minimum perceptible difference; and determining the luminance threshold according to the minimum perceptible difference.

[0014] According to yet another aspect of the present application, there is provided a residual image improvement device, comprising: a processor; and a storage device for storing one or more programs, which, when executed by the processor, cause the processor to implement the residual image improvement method.

[0015] According to yet another aspect of the present application, there is provided a computer readable medium having stored thereon a computer program, which, when executed by a processor, implements the residual image improvement method.

[0016] By determining the to-be-improved region according to the picture staying time length, inserting at least one black picture or at least one white picture after the to-be-improved picture in the to-be-improved region, and determining whether to display the improved picture according to the luminance difference between the to-be-improved picture and the improved picture, the aspects of the present application can accurately locate the region of the residual image level, improve the accuracy of residual image improvement, quickly achieve the effect of ion release, and improve the efficiency of residual image improvement. BRIEF DESCRIPTION OF DRAWINGS

[0017] The technical solutions and other beneficial effects of the present application will become apparent from the following detailed description of specific embodiments of the present application, taken in conjunction with the accompanying drawings.

[0018] Figure 1 A flow chart of the residual image improvement method of the embodiments of the present application is shown.

[0019] Figure 2 A schematic diagram of the residual image improvement method of the embodiments of the present application is shown. DETAILED DESCRIPTION

[0020] In the following, the technical solutions in the embodiments of the present application will be described clearly and completely with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person of ordinary skill in the art without creative effort fall within the protection scope of the present application.

[0021] In the description of the present application, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise" and the like indicate the orientation or positional relationship shown in the drawings, and are only for the purpose of facilitating the description of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application. In addition, the terms "first", "second" are only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the technical features indicated. Therefore, the features defined as "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise explicitly specified and limited.

[0022] In the description of the present application, it should be noted that, unless otherwise explicitly specified and limited, the terms "mounting", "connection", "connection" should be understood broadly, for example, it can be fixed connection, or detachable connection, or integrally connected; it can be mechanical connection, or electrical connection or can communicate with each other; it can be direct connection, or indirect connection through intermediate medium, or the internal communication of two elements or the interaction relationship between two elements. For those skilled in the art, the specific meaning of the above terms in the present application can be understood according to the specific circumstances.

[0023] The following disclosure provides many different embodiments or examples for implementing different structures of the present application. In order to simplify the disclosure of the present application, the components and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present application. In addition, the present application can repeatedly refer to the same reference numerals and / or reference letters in different examples. Such repetition is for the purpose of simplification and clarity, and does not in itself indicate a relationship between the various embodiments and / or settings being discussed. In addition, the present application provides examples of various specific processes and materials, but those skilled in the art can realize the application of other processes and / or the use of other materials. In some examples, methods, means, elements and circuits well known to those skilled in the art are not described in detail, in order to highlight the main idea of the present application.

[0024] Figure 1 A flow chart of the image sticking improvement method of the embodiments of the present application is shown. As shown in the figure, the image sticking improvement method comprises: Figure 1

[0025] Step S1: obtaining the picture staying time length of the same to-be-tested region in a dynamic picture;

[0026] The dynamic picture can comprise a plurality of original pictures displayed by the display panel, and the original picture can be a single static color picture or a single static gray scale picture. The plurality of original pictures are displayed in a preset order. For example, the dynamic picture can be a dynamic picture with a television station logo, or an online demonstration document.

[0027] In an embodiment, the to-be-tested region can be determined in advance as required. For example, the to-be-tested region can be set as a square region of 10*10, which can be located at a corner of the display panel. The to-be-tested region can be a partial region of the display panel, or the whole region of the display panel.

[0028] In an embodiment, the to-be-tested region comprises a plurality of to-be-tested pixels, each of which is driven by a pixel driving voltage corresponding to the to-be-tested pixel, so as to achieve the pixel gray scale to be displayed by the to-be-tested pixel.

[0029] Under normal circumstances, with the switching of the dynamic picture, the gray scale of the to-be-tested pixel in the to-be-tested region also changes correspondingly. However, due to the need for a certain time for liquid crystal turning, the gray scale of the to-be-tested pixel in the to-be-tested region will change with a lag. If the gray scale change of the to-be-tested pixel in the to-be-tested region cannot keep up with the change of the picture frame, the image sticking phenomenon will occur. In the present application, the image sticking level in the to-be-tested region can be judged by obtaining the target picture staying time length of the same to-be-tested region in a dynamic picture.

[0030] Further, the obtaining of the picture staying time length of the same to-be-tested region in a dynamic picture can comprise:

[0031] Step S11: obtaining a plurality of original pixel gray scales in the to-be-tested region at present;

[0032] In an embodiment, the plurality of original pixel gray scales in the to-be-tested region at present can be the pixel gray scales of the first frame original picture in the dynamic picture. For example, when the display panel displays a demonstration document, when the demonstration document is displayed by page scrolling, the to-be-tested region can be a header region, and the pixel gray scales in the header region of the first page document can be the original pixel gray scales.

[0033] ​Step S12: detecting the screen staying time length of the original pixel gray scale.

[0034] In an embodiment, the original pixel gray scale can be unchanged. For example, when scrolling multiple pages of a presentation document, the original pixel gray scale in the header region of the first page can not change with the scrolling of the document. At this time, it is further needed to judge the staying time length of the original pixel gray scale in the header region so as to determine the residual image level of the header region.

[0035] In an embodiment, the original pixel gray scale can also change. For example, the original pixel gray scale in the header region of the first page of the document can be 64, and with the scrolling of the document, the original pixel gray scale in the header region of the second page of the document can change from 64 to 65, the degree of change of the gray scale is small, at this time, the original pixel gray scale can be considered as approximately unchanged, and the time interval between the second page of the document and the first page of the document is calculated in the staying time length. If the original pixel gray scale in the header region of the third page of the document changes from 65 to 255, the degree of change of the gray scale is large, at this time, the original pixel gray scale can be considered as changed, and the time is not counted in the staying time length of the original pixel gray scale. It can be understood that the calculation standard of the staying time length can be selected as needed, and the present application is not limited.

[0036] In an embodiment, when the original pixel gray scale is unchanged, or the change of the original pixel gray scale is within a preset gray scale range, so that the original pixel gray scale is approximately unchanged, it is indicated that the screen corresponding to the original pixel gray scale stays and remains unchanged, at this time, the time length when the original pixel gray scale is unchanged or approximately unchanged can be taken as the screen staying time length of the original pixel gray scale.

[0037] Step S2: determining a to-be-improved region according to the screen staying time length;

[0038] The to-be-improved region can be a region needing to be improved in residual image.

[0039] Further, the determining the to-be-improved region according to the screen staying time length can include:

[0040] Step S21: judging whether the screen staying time length is greater than or equal to a preset time length threshold value;

[0041] Optionally, the time length threshold value can be 12 hours.

[0042] Step S22: if the screen staying time length is greater than or equal to the preset time length threshold value, determining a pixel region greater than or equal to the time length threshold value as the to-be-improved region; if the screen staying time length is less than the preset time length threshold value, determining a pixel region less than the time length threshold value as a normal display region.

[0043] In one embodiment, if the residence time of the original pixel grayscale is greater than or equal to a preset time threshold, it means that the afterimage phenomenon in the area corresponding to the original pixel grayscale is very serious. At this time, the area where the original pixel grayscale is located is determined as the area to be improved, indicating that the improved picture displayed in the area to be improved needs further improvement; if the residence time of the original pixel grayscale is less than the preset time threshold, it means that the area corresponding to the original pixel grayscale does not have the afterimage phenomenon, or the afterimage phenomenon can be automatically eliminated over time. At this time, the area where the original pixel grayscale is located is determined as the normal display area, indicating that the picture display in the normal display area is normal.

[0044] In one embodiment, the area to be improved may be the entire area to be tested, or a portion of the area to be tested. For example, the area to be tested may be a 10*10 square area containing 100 pixels to be tested. If the grayscale dwell time of 3*2 original pixels (a total of 6 pixels) within the square area is greater than or equal to a preset duration threshold, the area corresponding to the 3*2 area may be designated as the area to be improved, while the remaining area is the normal display area.

[0045] Step S3: inserting at least one black image or at least one white image after the image to be improved in the area to be improved to obtain an improved image;

[0046] The black picture may be a completely black picture, and the white picture may be a completely white picture.

[0047] In one embodiment, the area to be improved includes a plurality of pixels to be improved, and the original pixel grayscales of the pixels to be improved are achieved by the pixel driving voltages to be improved of the pixels to be improved. When it is necessary to insert at least one black image or at least one white image after the image to be improved in the area to be improved, the pixel driving voltages to be improved of the pixels to be improved can be adjusted to the black pixel driving voltage corresponding to a black image or the white pixel driving voltage corresponding to a white image, thereby achieving the insertion of at least one black image or at least one white image after the image to be improved in the area to be improved. After the adjustment is completed, the image to be improved can be displayed again using the pixel driving voltages to be improved, resulting in the image to be improved.

[0048] It should be noted that, on the one hand, the image to be improved can be the image of the area to be improved, and the area to be improved can be part or all of the area to be tested. This allows for precise location of the area with the highest level of image sticking, reduces the risk of inappropriate image sticking improvement in the normal display area, and improves the accuracy of image sticking improvement. On the other hand, by inserting black and white to improve image sticking in the area to be improved, the rotation of the liquid crystal can be enhanced, accelerating the release of DC image sticking without affecting the human eye's perception, thereby quickly achieving the effect of ion release (RLS) and improving the efficiency of image sticking improvement.

[0049] Furthermore, inserting at least one black picture or at least one white picture into the picture to be improved in the area to be improved to obtain the improved picture includes:

[0050] Step S31: reading the original driving timing of the image to be improved, wherein the original driving program is used to drive the area to be improved to display the image to be improved in a first time period;

[0051] The first time may be recorded as t1. During the t1 stage, the area to be improved displays the image to be improved, which has been displayed for a long time and has a serious afterimage phenomenon, and needs further improvement.

[0052] Step S32: reading an insertion program after the original driver, wherein the insertion program is used to drive the area to be improved to display at least one black image or at least one white image in a second time period after the first time period;

[0053] The second time period may be denoted as t2. The t2 phase may follow the t1 phase. During the t2 phase, at least one black frame or at least one white frame may be inserted. In practical applications, during the t2 phase, at least one black frame and at least one white frame may also be inserted.

[0054] Furthermore, the insertion program includes a black insertion program and a white insertion program, and the reading of the insertion program after the original driver includes:

[0055] Step S321: reading a black insertion program after the original driver, wherein the black insertion program is used to drive the area to be improved to display at least one black image during a black insertion period after the first period;

[0056] Step S322: reading a white insertion program after the black insertion program, wherein the white insertion program is used to drive the area to be improved to display at least one white image during the white insertion period after the black insertion period.

[0057] In one embodiment, at least one black frame can be inserted during the black insertion period, followed by at least one white frame during the white insertion period. This is suitable for situations where image retention is very severe. By inserting the black frame first and then the white frame, the ion release effect can be further enhanced, optimizing the effect of image retention reduction.

[0058] Step S33: re-reading the original driver program in a third time period after the second time period to drive the area to be improved, to obtain an improved image.

[0059] The third time period can be denoted as t3. The t3 stage can follow the t2 stage. In the t3 stage, the to-be-improved region can be driven by the driving program of the to-be-improved picture to obtain an improved picture. The to-be-improved picture and the improved picture display the same content, except that the improved picture has undergone the black insertion or white insertion process.

[0060] Step S4: determining whether to display the improved picture according to the brightness difference between the to-be-improved picture and the improved picture.

[0061] Further, the determining whether to display the improved picture according to the brightness difference between the to-be-improved picture and the improved picture comprises:

[0062] Step S41: judging whether the brightness difference between the to-be-improved picture and the improved picture is greater than or equal to a preset brightness threshold value.

[0063] The brightness threshold value can be determined in advance as needed. Optionally, the brightness threshold value is positively correlated with the minimum just noticeable difference. When the minimum just noticeable difference to be achieved is lower, the brightness threshold value is lower; when the minimum just noticeable difference to be achieved is higher, the brightness threshold value is higher.

[0064] Further, the determining whether to display the improved picture according to the brightness difference between the to-be-improved picture and the improved picture further comprises:

[0065] Step S401: obtaining a preset minimum just noticeable difference.

[0066] The minimum just noticeable difference can be determined in advance according to test specifications.

[0067] Step S402: determining the brightness threshold value according to the minimum just noticeable difference.

[0068] Optionally, the brightness threshold value can be 0.5 nits. It can be understood that the brightness threshold value can be adjusted as needed, and the present application does not limit how to determine the brightness threshold value according to the minimum just noticeable difference.

[0069] Further, the judging whether the brightness difference between the to-be-improved picture and the improved picture is greater than or equal to a preset brightness threshold value comprises:

[0070] Step S41: obtaining a plurality of first brightness values of a plurality of to-be-improved pixels of the to-be-improved picture, and averaging the plurality of first brightness values to obtain a first average brightness value.

[0071] The first average brightness value can be the average value of the brightness of all pixels of the to-be-improved picture, so as to represent the overall brightness of the to-be-improved picture.

[0072] Step S42: obtaining a plurality of second brightness values of a plurality of improved pixels of the improved picture, and averaging the plurality of second brightness values to obtain a second average brightness value;

[0073] The second average brightness value can be an average value of brightness of all pixels of the improved picture, so as to represent the overall brightness of the improved picture.

[0074] Step S43: taking an absolute value of a difference between the first average brightness value and the second average brightness value as a brightness difference between the picture to be improved and the improved picture.

[0075] After obtaining the brightness difference between the picture to be improved and the improved picture, whether the improved picture has reached an ideal residual image level can be determined according to the brightness difference.

[0076] Step S42: if the brightness difference between the picture to be improved and the improved picture is greater than or equal to a preset brightness threshold, adjusting the number of the inserted black picture or the inserted white picture, updating the improved picture, until the brightness difference between the picture to be improved and the improved picture is less than the preset brightness threshold; if the brightness difference between the picture to be improved and the improved picture is less than the preset brightness threshold, displaying the improved picture.

[0077] In an embodiment, if the brightness difference between the picture to be improved and the improved picture is greater than or equal to the preset brightness threshold, it indicates that the improved picture is not improved enough, and at this time, the inserted black picture or the inserted white picture needs to be adjusted. On this basis, the number of the inserted black picture or the inserted white picture can be adjusted through continuous iteration until the brightness difference between the picture to be improved and the improved picture is less than the preset brightness threshold, so as to meet the target residual image level. When the brightness difference between the picture to be improved and the improved picture is less than the preset brightness threshold, it indicates that the improved picture is improved enough, and at this time, the improved picture can be directly displayed.

[0078] Figure 2 A schematic diagram of a residual image improvement method of an embodiment of the present application is shown. As shown in FIG. 1, the residual image improvement method includes the following steps. Figure 2As shown, in one example, the fixed picture duration of a certain area can be detected first, if the duration is greater than or equal to 12 hours, the residual image improvement program can be started, the timing is adjusted to insert black or white, and then the difference between the brightness of the area after inserting black or white and the previous brightness is detected. If the difference is greater than or equal to 0.5 nits, it means that the residual image improvement program is not enough, at this time, the insertion of black or white can be continued until the difference is less than 0.5 nits. When the difference is less than 0.5 nits, the residual image improvement program can be closed, and then the normal picture display is performed.

[0079] In addition, the present application also provides a residual image improvement device, comprising: a processor; and a storage device for storing one or more programs, when the one or more programs are executed by the processor, the processor implements the residual image improvement method. Optionally, the residual image improvement device can be a computer.

[0080] The present application also provides a computer readable medium having a computer program stored thereon, the computer program is executed by the processor to implement the residual image improvement method.

[0081] In summary, the present application determines the area to be improved by the picture duration, inserts at least one black picture or at least one white picture after the picture to be improved in the area to be improved, and then determines whether to display the improved picture according to the brightness difference between the picture to be improved and the improved picture, which can accurately locate the area of residual image level, improve the accuracy of residual image improvement, quickly achieve the effect of ion release, and improve the efficiency of residual image improvement.

[0082] In the above embodiments, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0083] The residual image improvement method, residual image improvement device and computer readable medium provided by the embodiments of the present application are described in detail above, and the principles and implementation modes of the present application are described by applying specific examples in this paper. The above description of the embodiments is only used to help understand the technical solutions and core ideas of the present application; those skilled in the art should understand that the technical solutions recorded in the above embodiments can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for improving image sticking, characterized by, The method comprises the following steps: acquiring a picture staying time of a same to-be-tested region in a dynamic picture; determining a to-be-improved region according to the picture staying time; inserting at least one black picture or at least one white picture into a to-be-improved picture of the to-be-improved region to obtain an improved picture; determining whether to display the improved picture according to a brightness difference between the to-be-improved picture and the improved picture; wherein the step of determining whether to display the improved picture according to the brightness difference between the to-be-improved picture and the improved picture comprises: judging whether the brightness difference between the to-be-improved picture and the improved picture is greater than or equal to a preset brightness threshold value; if the brightness difference between the to-be-improved picture and the improved picture is greater than or equal to the preset brightness threshold value, adjusting the number of the inserted black pictures or white pictures, updating the improved picture until the brightness difference between the to-be-improved picture and the improved picture is less than the preset brightness threshold value; if the brightness difference between the to-be-improved picture and the improved picture is less than the preset brightness threshold value, displaying the improved picture, wherein the improved picture and the to-be-improved picture display the same content.

2. The method of improving residual image according to claim 1, wherein, The step of acquiring the picture staying time of the same to-be-tested region in the dynamic picture comprises: acquiring a plurality of original pixel gray scales in the to-be-tested region; detecting a picture staying time of the original pixel gray scales.

3. The method of improving residual image according to claim 1, wherein, The step of determining the to-be-improved region according to the picture staying time comprises: judging whether the picture staying time is greater than or equal to a preset time threshold value; if the picture staying time is greater than or equal to the preset time threshold value, determining a pixel region greater than or equal to the time threshold value as the to-be-improved region; if the picture staying time is less than the preset time threshold value, determining a pixel region less than the time threshold value as a normal display region.

4. The method of improving residual image according to claim 1, wherein, The step of inserting at least one black picture or at least one white picture into the to-be-improved picture of the to-be-improved region to obtain the improved picture comprises: reading an original driving time sequence of the to-be-improved picture, wherein the original driving program is used to drive the to-be-improved region to display the to-be-improved picture in a first time period; reading an insertion program after the original driving program, wherein the insertion program is used to drive the to-be-improved region to display at least one black picture or at least one white picture in a second time period located after the first time period; re-reading the original driving program to drive the to-be-improved region in a third time period located after the second time period to obtain the improved picture.

5. The method of improving residual image according to claim 4, wherein, The insertion program comprises a black insertion program and a white insertion program, and the step of reading the insertion program after the original driving program comprises: reading the black insertion program after the original driving program, wherein the black insertion program is used to drive the to-be-improved region to display at least one black picture in a black insertion time period located after the first time period; reading the white insertion program after the black insertion program, wherein the white insertion program is used to drive the to-be-improved region to display at least one white picture in a white insertion time period located after the black insertion time period.

6. The method of improving residual image according to claim 1, wherein, The step of judging whether the brightness difference between the to-be-improved picture and the improved picture is greater than or equal to the preset brightness threshold value comprises: acquire a plurality of first luminance values of a plurality of to-be-improved pixels of the to-be-improved picture, and average the plurality of first luminance values to obtain a first average luminance value; acquire a plurality of second luminance values of a plurality of improved pixels of the improved picture, and average the plurality of second luminance values to obtain a second average luminance value; determine a difference between the first average luminance value and the second average luminance value, and take an absolute value of the difference as a luminance difference between the to-be-improved picture and the improved picture.

7. The method of improving residual image according to claim 1, wherein, The method further includes: acquiring a preset minimum just noticeable difference; determining the luminance threshold according to the minimum just noticeable difference.

8. An image sticking improvement device, characterized by comprising: The image sticking improvement device includes a processor and a storage device configured to store one or more programs that, when executed by the processor, cause the processor to implement the image sticking improvement method according to any one of claims 1-7.

9. A computer readable medium characterized by A computer program is stored on the storage device and is executed by the processor to implement the image sticking improvement method according to any one of claims 1-7.

Images