Display driving method and display device

Abstract

The present application discloses a display driving method and a display device, the display driving method comprising the steps of: acquiring data of a picture to be displayed; selecting data of an image to be detected from the data of the picture to be displayed; detecting the edge shape of the image to be detected, and the difference between the grayscale value of the image to be detected and the grayscale value of an adjacent image; when it is detected that the edge shape of the image to be detected is a slope shape, and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, determining that the image to be detected is an abnormal image; and compensating the grayscale of the adjacent image of the abnormal image. The above method can avoid the problem of jaggedness when Mini‑LED products are displayed.

Description

Technical Field

[0001] The present application relates to the field of display technology, and in particular to a display driving method and a display device. Background Art

[0002] At present, with the development of display technology, more and more display screens use Mini-LED backlight for backlight display. Display screens using Mini-LED backlight are widely used in both direct display and backlight markets due to their higher resolution, contrast, color gamut and other characteristics.

[0003] Since Mini-LED directly emits light as lamp beads, the size of the lamp beads will affect the display effect of the product. Due to cost considerations and limitations of existing manufacturing processes, the size of the lamp beads in Mini-LED products is much larger than that in Micro Led (Micro Light Emitting Diode Display) products. This also causes the problem of jaggedness when Mini-LED products are displayed. Summary of the invention

[0004] The purpose of the embodiments of the present application is to provide a display driving method and a display device to avoid the problem of jaggedness when Mini-LED products are displayed.

[0005] The embodiment of the present application discloses a display driving method, comprising the steps of:

[0006] Get the data of the screen to be displayed;

[0007] Selecting data of the image to be detected from the data of the picture to be displayed;

[0008] Simultaneously detecting the edge shape of the image to be detected and the difference between the grayscale value of the image to be detected and the grayscale value of an adjacent image; when it is detected that the edge shape of the image to be detected is a slope shape, and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, determining that the image to be detected is an abnormal image; and

[0009] The grayscale of the image adjacent to the abnormal image is compensated.

[0010] Optionally, while simultaneously detecting the edge shape of the image to be detected and the difference between the grayscale value of the image to be detected and the grayscale value of an adjacent image; when it is detected that the edge shape of the image to be detected is a slope shape, and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, the step of determining that the image to be detected is an abnormal image includes the following steps:

[0011] Dividing the image to be displayed into a plurality of detection units distributed in an array, each detection unit comprising a plurality of lamp beads;

[0012] The plurality of lamp beads in the detection unit are divided into a base lamp bead and a plurality of reference lamp beads, and when the difference between the grayscale value of the reference lamp bead located on the diagonal of the base lamp bead and the grayscale value of the base lamp bead is less than a preset value, and the difference between the grayscale value of at least one of the other reference lamp beads and the grayscale value of the base lamp bead is greater than the preset value, the detection unit is defined as an abnormal unit;

[0013] Calculating a ratio between the number of the abnormal units and the number of all the detection units, and when the ratio is greater than a preset ratio, determining that the edge shape of the image to be detected is a slope shape, and the difference between the edge grayscale value of the image to be detected and the edge grayscale value of an adjacent image is greater than a preset value;

[0014] Wherein, the position of each of the reference lamp beads in the corresponding detection unit is the same.

[0015] Optionally, each detection unit includes four lamp beads, and the four lamp beads are arranged in two rows and two columns.

[0016] Optionally, the preset ratio is seventy percent.

[0017] Optionally, in the step of compensating the grayscale of adjacent images of the abnormal image, the brightness of the reference lamp beads in the abnormal unit is adjusted so that the difference between the grayscale value of the reference lamp beads and the grayscale values ​​of other reference lamp beads in the abnormal unit is less than the preset value.

[0018] Optionally, while simultaneously detecting the edge shape of the image to be detected and the difference between the grayscale value of the image to be detected and the grayscale value of an adjacent image; when it is detected that the edge shape of the image to be detected is a slope shape, and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, the step of determining that the image to be detected is an abnormal image includes the following steps:

[0019] Reading the grayscale values ​​of all sub-pixels in the data of the picture to be displayed;

[0020] When the grayscale difference between the mth sub-pixel and the m+1th sub-pixel in the nth row of sub-pixels is greater than a preset value, the nth row of sub-pixels is defined as abnormal row pixels;

[0021] When the grayscale difference between the m+ath sub-pixel and the m+a+1th sub-pixel in the n+1th row of sub-pixels is greater than a preset value, the n+1th row of sub-pixels is defined as an abnormal row of pixels;

[0022] By analogy, when the grayscale difference between the m+pa sub-pixel and the m+pa+1 sub-pixel in the n+pth row of sub-pixels is greater than a preset value, the n+pth row of sub-pixels is defined as an abnormal row of pixels;

[0023] When at least a preset number of abnormal row pixels appear continuously, it is determined that the edge shape of the image to be detected is a slope shape, and the difference between the edge grayscale value of the image to be detected and the edge grayscale value of the adjacent image is greater than a preset value;

[0024] Among them, a is greater than or equal to 2 and less than or equal to 5.

[0025] Optionally, the preset behavior is 100.

[0026] Optionally, in the step of compensating the grayscale of the adjacent images of the abnormal image, the brightness of the m+1th sub-pixel in the nth row of sub-pixels is compensated so that the grayscale difference between the mth sub-pixel and the m+1th sub-pixel is less than a preset value; the brightness of the m+a+1th sub-pixel in the n+1th row of sub-pixels is compensated so that the grayscale difference between the m+ath sub-pixel and the m+a+1th sub-pixel is less than a preset value; and so on, the brightness of the m+pa+1th sub-pixel in the n+pth row of sub-pixels is compensated so that the grayscale difference between the m+path sub-pixel and the m+pa+1th sub-pixel is less than a preset value.

[0027] Optionally, the preset value is 150.

[0028] An embodiment of the present application further discloses a display device, which includes a display panel and a driving circuit, and the driving circuit adopts the display driving method as described above.

[0029] The beneficial effects of the embodiments of the present application are as follows: the embodiments of the present application simultaneously detect the edge shape of the image to be detected and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image. When the edge shape of the image to be detected is a slope shape and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, it is determined that the image to be detected will have a jagged problem when displayed. When it is determined that the image to be detected will have a jagged problem during display, the display driving method provided by the embodiments of the present application will also compensate for the brightness of the adjacent image, so that the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is less than a preset value, thereby making the grayscale difference between the image to be detected and the adjacent image smaller and not easily observed by people, thereby solving the jagged problem. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] The included drawings are used to provide a further understanding of the embodiments of the present application, which constitute a part of the specification, are used to illustrate the implementation methods of the present application, and together with the text description, explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0031] Figure 1 This is a schematic diagram of a Mini-LED display product displaying a "human" shaped pattern;

[0032] Figure 2 is a flow chart of a display driving method provided by an embodiment of the present application;

[0033] Figure 3 It is a flow chart of a method for detecting whether a detected image is an abnormal image provided by the first embodiment of the present application;

[0034] Figure 4 It is a schematic diagram of lamp bead coordinates;

[0035] Figure 5 This is a schematic diagram of the state of a lamp bead during detection in the first embodiment;

[0036] Figure 6 It is a flow chart of a method for detecting whether a detected image is an abnormal image provided by the second embodiment of the present application;

[0037] Figure 7 This is a schematic diagram of the state of a lamp bead during detection in the second embodiment;

[0038] Figure 8 is a Figure 8 Schematic diagram of compensation;

[0039] Fig. 9 It is a schematic diagram of a display device provided in an embodiment of the present application.

[0040] Among them, 10, display device; 100, display panel; 200, driving circuit; 300, detection unit; 310, reference lamp bead; 320, benchmark lamp bead. DETAILED DESCRIPTION

[0041] It should be understood that the terms used herein, the specific structures and functional details disclosed are only for describing specific embodiments and are representative, but the present application can be implemented in many alternative forms and should not be construed as being limited to only the embodiments described herein.

[0042] In addition, unless otherwise clearly specified or limited, "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be internally connected between two elements. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0043] The backlight of Mini-LED direct display products is composed of Mini-LED lamp beads. Each Mini-LED lamp bead can be regarded as a sub-pixel, and a large number of sub-pixels are arranged in a matrix shape.

[0044] Figure 1 This is a schematic diagram of a Mini-LED display product displaying a "human" shaped pattern. It can be clearly seen from the figure that there is a jagged problem on the edge of the "human" shaped pattern. This is because during the use of Mini-LED products, when the displayed image is not presented horizontally or vertically, a step-like sub-pixel display pattern will appear in the inclined part. When this pattern is actually displayed, the human eye will see a jagged phenomenon, and the larger the size of the LED lamp bead, the more serious the jagged phenomenon will be, which will affect the product display effect and the visual enjoyment of the human eye. On the contrary, the smaller the size of the lamp bead, the less likely this problem will occur.

[0045] Due to the size of Mini-LED lamp beads, this type of product is prone to jagged problems. However, the degree to which users perceive this phenomenon is also related to the displayed image. When the edge of the image is sloped (the edge is an arc with a certain curvature, an arc with a fixed slope, or an inclined straight line, etc.), and the grayscale difference between the curved image and the adjacent image is large, the jagged problem is more likely to be seen, and the greater the grayscale difference, the easier it is to see; if the grayscale difference is small, it is difficult for people to detect. It can be seen that the edge shape of the image and the grayscale displayed on the image are the two major causes of jaggedness.

[0046] like Figure 2 As shown, based on the above problems, the embodiment of the present application provides a specific display driving method to solve the problem of jagged appearance of Mini-LED products during display. The display driving method comprises the steps of:

[0047] S1: Get the data of the picture to be displayed;

[0048] S2: Selecting data of the image to be detected from the data of the image to be displayed;

[0049] S3: simultaneously detecting the edge shape of the image to be detected and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image; when it is detected that the edge shape of the image to be detected is a slope shape, and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, determining that the image to be detected is an abnormal image;

[0050] S4: Compensating the grayscale of the image adjacent to the abnormal image.

[0051] The embodiment of the present application simultaneously detects the edge shape of the image to be detected and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image. When the edge shape of the image to be detected is a slope shape and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, it is determined that the image to be detected will have a jagged problem when displayed. When it is determined that the image to be detected will have a jagged problem during the display process, the display driving method provided in the embodiment of the present application will also compensate for the brightness of the adjacent image, so that the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is less than a preset value, thereby making the grayscale difference between the image to be detected and the adjacent image smaller and not easily observed by people, thereby solving the jagged problem.

[0052] In the embodiment of the present application, the preset value is 150. When the difference between the grayscale value of the detected image and the grayscale value of the adjacent image is greater than 150, the user can clearly see the difference in the brightness of the picture through the eyes, thereby easily identifying the jagged picture.

[0053] First embodiment:

[0054] like Figure 3 As shown, as the first implementation mode of the embodiment of the present application, the implementation mode of the present application provides a method for specifically detecting whether a detected image is an abnormal image (an image with jagged problems), and a corresponding method for brightness compensation.

[0055] In step S3, it specifically includes:

[0056] S3A1: Divide the image to be displayed into a plurality of detection units distributed in an array, each detection unit including a plurality of lamp beads;

[0057] S3A2: Divide the multiple lamp beads in the detection unit into one benchmark lamp bead and multiple reference lamp beads, and when the difference between the grayscale value of the reference lamp bead located on the diagonal of the benchmark lamp bead and the grayscale value of the benchmark lamp bead is less than a preset value, and the difference between the grayscale value of at least one of the other reference lamp beads and the grayscale value of the benchmark lamp bead is greater than the preset value, define the detection unit as an abnormal unit;

[0058] S3A3: calculating a ratio between the number of the abnormal units and the number of all the detection units, and when the ratio is greater than a preset ratio, determining that the edge shape of the image to be detected is a slope shape, and the difference between the edge grayscale value of the image to be detected and the edge grayscale value of the adjacent image is greater than a preset value;

[0059] Wherein, the position of each of the reference lamp beads in the corresponding detection unit is the same.

[0060] Step S3A1 is a step for grouping lamp beads. In step S3A1, all lamp beads in the display device are divided into multiple detection units, and the multiple detection units are distributed in a matrix; wherein each detection unit includes an equal number of lamp beads, which can be four, six, eight, etc., and all lamp beads in each detection unit are arranged in the same manner, in a square arrangement.

[0061] Step S3A2 is a step for determining whether the detection unit is abnormal. In step S3A2, it is necessary to determine which detection units are abnormal units and which detection units are normal units. In this embodiment, a reference lamp bead is first determined in the detection unit, and the other lamp beads in the detection unit are all reference lamp beads. First, it is determined whether the difference between the grayscale value of the reference lamp bead located on the diagonal of the reference lamp bead and the grayscale value of the reference lamp bead is less than a preset value. If it is greater, the detection unit is a normal unit; if it is less, the grayscale value of the reference lamp bead is continued to be compared with the grayscale values ​​of other reference lamp beads in the corresponding detection unit. When one or more comparison results are greater than the preset value, it means that the brightness of this reference lamp bead is significantly different from that of other reference lamp beads, and it is easy to see the reference lamp bead with abnormal brightness in this detection unit, so this detection unit is defined as an abnormal unit.

[0062] In a normal unit, the brightness of the benchmark lamp bead is slightly different from that of all the reference lamp beads in this normal unit, or the brightness of the benchmark lamp bead is slightly different from that of some of the reference lamp beads in this normal unit. At this time, even if the benchmark lamp bead is darker or brighter, it will not be abnormally obvious in this normal unit and will not be easily observed.

[0063] It should be emphasized that the present embodiment needs to keep the reference lamp beads in each detection unit at the same position of the detection unit, which can be located at the corner, center or edge of the detection unit, and is not specifically limited here.

[0064] Step S3A3 is a step for calculating the proportion of abnormal units. In step S3A3, the proportion of the number of abnormal units in all detection units is calculated. When the proportion of abnormal units is too large, the abnormal display will be more obvious. In the specific display, when the proportion of abnormal units is too large, a diagonal line passing through multiple abnormal units is selected at this time. It will be found that the reference lamp beads in these abnormal units will be connected into a jagged diagonal line, and the brightness of the reference lamp beads in the abnormal units will be greatly different from that of the surrounding lamp beads, resulting in this line of reference lamp beads. The connection will be very obvious, combined with the surrounding lamp beads to form a jagged shape, which is easy to be observed by the naked eye. Since in the entire picture to be displayed, the sub-pixels corresponding to all reference lamp beads can be regarded as part of the image to be detected, it can be determined that the edge shape of the image to be detected in this display picture is a slope shape, and the difference between the edge grayscale value of the image to be detected and the edge grayscale value of the adjacent image is greater than the preset value, meeting the determination requirements of the abnormal image.

[0065] In this embodiment, each detection unit includes four lamp beads, which are arranged in two rows and two columns. The reference lamp bead can be located at the upper left corner of the detection unit, or at the lower right corner of the detection unit, or at the lower left corner or upper right corner of the detection unit. Since the fewer the number of lamp beads in the detection unit, the higher the detection accuracy, the more accurate the detection of the jagged image.

[0066] In this embodiment, the preset ratio is 70%. After testing, it is found that when the proportion of abnormal units exceeds 70%, since there are jagged units (abnormal units) occupying most of the entire picture, no matter how these jagged units are arranged, they will always give the human eye a jagged feeling when the whole is displayed. On the contrary, when the proportion of abnormal units does not exceed 70%, in most display situations, especially when the jagged units are relatively scattered in the entire display screen, they will not give the human eye an obvious jagged feeling, thereby avoiding frequent fill light, resulting in increased workload of the driving circuit and easy heating.

[0067] As a specific example, this embodiment also provides a specific detection method, specifically named lamp bead coordinate positioning method, to specifically illustrate the detection process in this embodiment.

[0068] In the Mini-LED display panel architecture, the gate line is used to turn on the voltage of a row of lamp beads, and the source line is used to control the data voltage of the lamp beads to display grayscale. Therefore, each lamp bead in the architecture can be located by the unique position of their gate line and source line. Figure 4As shown, taking the display product with FHD resolution of 5760*2200 as an example, the gate lines are numbered from G1 to G2200, and the source lines are numbered from S1 to S5760, then the coordinates of the Mini-LED lamp beads are from (1, 1) to (2200, 5760).

[0069] like Figure 5 As shown, corresponding to step S3A1, four lamp beads are arranged in a 2*2 manner to form a detection unit, wherein the shaded portion represents a darker lamp bead, and the unshaded portion represents a brighter lamp bead.

[0070] Corresponding to step S3A2, during detection, the situation of detection unit 1 (the first detection unit in the first row of detection units) is first determined, and the (1, 1) lamp bead is used as a reference to determine the brightness state of the lamp bead (2, 2) on the diagonal of the reference lamp bead. When (1, 1) and (2, 2) are both dark or both bright, then (1, 2) and (2, 1) are determined to be bright, dark or dark, bright (i.e., the brightness states of these two lamp beads are inconsistent). At this time, in the detection unit composed of the four lamp beads (1, 1), (1, 2), (2, 1), and (2, 2), the brightness state of one lamp bead is different from that of the other lamp beads, resulting in a diagonal jagged problem, and therefore the detection unit is determined to be defined as an abnormal unit.

[0071] Then, adjacent detection unit 2 in the same row is determined, then detection unit 3, then detection unit 4...; according to this rule, the first detection unit in the next row of detection units is determined... until all detection units or lamp beads are detected.

[0072] Corresponding to step S3A3, the number of all existing detection units is defined as x, and the total number of abnormal units with jagged problems is y. When y / x>70%, we believe that when the jagged units occupy most of the entire picture, no matter how these jagged units are arranged, they will always give the human eye a jagged feeling when displayed as a whole.

[0073] In addition, it should be noted that for the definition of brightness and darkness, when the grayscale of the lamp bead is above 128 grays, it is considered to be in a bright state, and when the grayscale is below 28 grays, it is considered to be in a dark state.

[0074] This implementation requires relatively little computing power during detection, and is applicable even to relatively low-cost display products.

[0075] Correspondingly, after detecting the abnormal image by the above method, it is necessary to compensate the grayscale of the adjacent images of the abnormal image. The compensation idea of ​​this embodiment is to reduce the number of abnormal units to achieve the purpose of reducing or even eliminating the jagged problem. That is, in step S4, the brightness of the reference lamp beads in the abnormal unit is adjusted so that the difference between the grayscale value of the reference lamp bead and the grayscale value of other reference lamp beads in the abnormal unit is less than the preset value.

[0076] The specific compensation method is: when the timing control chip detects and determines that the detection unit 1 has a sawtooth problem according to the above scheme, it then confirms which of the lamp beads with coordinates (1, 2) and the lamp beads with coordinates (2, 1) is in a dark state. If the lamp bead with coordinates (2, 1) is dark, then the timing control chip will output the coordinates of this lamp bead, that is, gate line2, source line1 control signal to the driver chip (driver IC). At this time, the driver chip controls the grayscale corresponding to the output gate line2 to increase, that is, the output data voltage time is lengthened to increase the brightness of the lamp bead.

[0077] During the experiment, simulation can be performed. For example, when the lamp bead with coordinates (1, 1) and the lamp bead with coordinates (2, 2) are both on, the minimum grayscale of the two lamp beads is set to 128, and then the grayscale of the lamp bead with coordinates (2, 1) is increased from the original x to x+5, and the corresponding data voltage high level time is x'. Through actual observation by human eyes, confirm whether the sawtooth problem has been improved. If not, continue to increase the grayscale by 10, and repeat the observation until the sawtooth problem is improved. At this time, the grayscale becomes x+y, and the corresponding data voltage high level time is x'+y'. Then when the sawtooth problem occurs, when the diagonal grayscale is 128, the corresponding compensation grayscale is y, and the corresponding data voltage high level compensation time is y'. Then when the diagonal grayscale is 138, the corresponding compensation grayscale y+t is obtained through the above debugging and observation, and so on, and finally the corresponding reference table is formed. In actual display, when an abnormal image is detected, the driver chip can compensate the data voltage high level time according to the reference table.

[0078] Second implementation method:

[0079] like Figure 6 As shown, as the second implementation of the embodiment of the present application, the implementation of the present application provides another specific method for detecting whether the detected image is an abnormal image (an image with jagged problems), and a corresponding method for brightness compensation.

[0080] In step S3, it specifically includes:

[0081] S3B1: Reading the grayscale values ​​of all sub-pixels in the data of the picture to be displayed;

[0082] S3B2: when the grayscale difference between the mth sub-pixel and the m+1th sub-pixel in the nth row of sub-pixels is greater than a preset value, the nth row of sub-pixels is defined as abnormal row pixels;

[0083] S3B3: when the grayscale difference between the m+ath sub-pixel and the m+a+1th sub-pixel in the n+1th row of sub-pixels is greater than a preset value, the n+1th row of sub-pixels is defined as an abnormal row of pixels;

[0084] S3B4: Similarly, when the grayscale difference between the m+pa th sub-pixel and the m+pa+1 th sub-pixel in the n+p th row of sub-pixels is greater than a preset value, the n+p th row of sub-pixels is defined as an abnormal row of pixels;

[0085] S3B5: when at least a preset number of abnormal row pixels appear continuously, determining that the edge shape of the image to be detected is a slope shape, and the difference between the edge grayscale value of the image to be detected and the edge grayscale value of the adjacent image is greater than a preset value;

[0086] Among them, a is greater than or equal to 1 and less than or equal to 3; n, m, and p are all non-zero natural numbers.

[0087] In this embodiment, the preset behavior is 100. When at least 100 rows of abnormal row pixels appear continuously, it can be considered that the boundary of the aliasing phenomenon image has been found, and the edge shape of the image to be detected is judged to be a slope shape, and the difference between the edge grayscale value of the image to be detected and the edge grayscale value of the adjacent image is greater than the preset value, and the image to be detected is an abnormal image.

[0088] This implementation adopts the TCON (Timing Controller) reading method for detection, which is suitable for display products with OD (OVER DRIVE) function. The OD function can store all the data of the next frame in the OD table. Therefore, when determining whether there is a jagged shape, it is only necessary to use TCON to read the data in the OD table and compare the read data to determine whether the image to be detected is an abnormal image. The budget is higher and the detection effect is more accurate.

[0089] Specifically, take a equal to 2 as an example. Figure 7 As shown, Figure 7This is a schematic diagram of the state of the lamp bead during detection in the second embodiment. The shaded part in the figure represents the darker sub-pixel, and the unshaded part represents the brighter sub-pixel. The sixth sub-pixel in the first row is bright, and the seventh sub-pixel in the first row is dark; the eighth sub-pixel in the second row is also bright, and the ninth sub-pixel in the second row is dark; and this state is maintained until the 100th, that is, the 204th sub-pixel in the 100th row is bright, and the 205th sub-pixel in the 100th row is dark.

[0090] Furthermore, data comparison is performed on the m-1th sub-pixel, m-2th sub-pixel, m-3th sub-pixel ... m-50th sub-pixel of the nth row, the m+1th sub-pixel, m-1th sub-pixel ... m-48th sub-pixel of the n+1th row, and the m+3th sub-pixel, m+2th sub-pixel, m-1th sub-pixel ... m-46th sub-pixel of the n+2th row. When the number of sub-pixels judged as bright in these data is greater than 80% of the total number of sub-pixels in the row, it is considered that the block from the m-50th sub-pixel to the mth sub-pixel of the nth row and continuing to the m+150th sub-pixel to the m+200th sub-pixel of the n+100th row presents a jagged picture.

[0091] Similarly, it should be noted that, with respect to the definition of light and dark, when the grayscale of a sub-pixel is above 128 grays, it is considered to be in a light state, and when the grayscale of a sub-pixel is below 28 grays, it is considered to be in a dark state.

[0092] Corresponding, combined Figure 7 and Figure 8 As shown, Figure 8 The box area in the figure represents the sub-pixel whose brightness is compensated. After the abnormal image is detected by the above method, the grayscale of the adjacent image of the abnormal image needs to be compensated. The compensation idea of ​​this embodiment is to compensate the grayscale of the sub-pixel at the edge of the adjacent image to achieve the purpose of reducing or even eliminating the jagged problem.

[0093] As a specific compensation method, in step S4, the brightness of the m+1th sub-pixel in the nth row of sub-pixels is compensated so that the grayscale difference between the mth sub-pixel and the m+1th sub-pixel is less than a preset value; the brightness of the m+a+1th sub-pixel in the n+1th row of sub-pixels is compensated so that the grayscale difference between the m+ath sub-pixel and the m+a+1th sub-pixel is less than a preset value; and so on, the brightness of the m+pa+1th sub-pixel in the n+pth row of sub-pixels is compensated so that the grayscale difference between the m+path sub-pixel and the m+pa+1th sub-pixel is less than a preset value.

[0094] Specifically, taking p equals 100 and a equals 2 as an example, in the experimental stage, by compensating the m+1th sub-pixel in the nth row, the m+3th sub-pixel in the n+1th row, the m+5th sub-pixel in the n+2th row, and the m+201th sub-pixel in the n+100th row, when the grayscale of the bright sub-pixel is 128 gray, the grayscale of the dark sub-pixel is increased to 35 gray, and the corresponding data output duration is n1'; when the grayscale of the bright sub-pixel is 138 gray, the grayscale of the dark sub-pixel is increased to 35 gray, and the corresponding data output duration is n1'; when the grayscale of the bright sub-pixel is 138 gray, the grayscale of the dark sub-pixel is increased to 35 gray, and the corresponding data output duration is n1'; The grayscale value is increased to 40 grays, and the corresponding data output duration is n2'... Therefore, in actual use, when TCON determines that there is an abnormal image, it reads the grayscale values ​​of the sub-pixels in the 1st row, the sub-pixels in the second row...the sub-pixels in the 100th row, and then compensates for the m+1th sub-pixel in the 1st row, the m+3th sub-pixel in the 2nd row, the m+5th sub-pixel in the 3rd row...the m+201th sub-pixel in the 100th row through the compensation values ​​stored in the OD table to solve the jagged problem.

[0095] The above two implementations can both detect whether there are abnormal images, that is, jagged images, in the image to be displayed, and after detecting the abnormal images, they can also directly and automatically perform compensation and repair to avoid jagged problems during display, thereby effectively improving the display quality. Of course, in other implementations, other detection methods and compensation methods can also be used, which are not listed here one by one.

[0096] like Fig. 9 As shown, an embodiment of the present application further provides a display device, wherein the display device 10 is a Mini-LED display device, and the display device 10 includes a display panel 100 and a driving circuit 200, and the driving circuit 200 adopts the display driving method as described above.

[0097] It should be noted that the limitations on the various steps involved in this solution are not considered to limit the order of the steps without affecting the implementation of the specific solution. The steps written in front can be executed first, or later, or even simultaneously. The solutions of different implementation embodiments can be combined and applied without conflict. As long as this solution can be implemented, it should be regarded as belonging to the scope of protection of this application.

[0098] The above content is a further detailed description of the present application in combination with specific optional implementation methods, and it cannot be determined that the specific implementation of the present application is limited to these descriptions. For ordinary technicians in the technical field to which the present application belongs, several simple deductions or substitutions can be made without departing from the concept of the present application, which should be deemed to fall within the scope of protection of the present application.

Claims

1. A display driving method, characterized in that: Includes steps: Get the data of the screen to be displayed; Selecting data of the image to be detected from the data of the picture to be displayed; Simultaneously detecting the edge shape of the image to be detected and the difference between the grayscale value of the image to be detected and the grayscale value of an adjacent image; when it is detected that the edge shape of the image to be detected is a slope shape, and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, determining that the image to be detected is an abnormal image; as well as Compensating the grayscale of an image adjacent to the abnormal image; The step of simultaneously detecting the edge shape of the image to be detected and the difference between the grayscale value of the image to be detected and the grayscale value of an adjacent image; when it is detected that the edge shape of the image to be detected is a slope shape and the difference between the grayscale value of the image to be detected and the grayscale value of the adjacent image is greater than a preset value, determining that the image to be detected is an abnormal image includes the following steps: Dividing the image to be displayed into a plurality of detection units distributed in an array, each detection unit comprising a plurality of lamp beads; The plurality of lamp beads in the detection unit are divided into a base lamp bead and a plurality of reference lamp beads, and when the difference between the grayscale value of the reference lamp bead located on the diagonal of the base lamp bead and the grayscale value of the base lamp bead is less than a preset value, and the difference between the grayscale value of at least one of the other reference lamp beads and the grayscale value of the base lamp bead is greater than the preset value, the detection unit is defined as an abnormal unit; Calculating a ratio between the number of the abnormal units and the number of all the detection units, and when the ratio is greater than a preset ratio, determining that the edge shape of the image to be detected is a slope shape, and the difference between the edge grayscale value of the image to be detected and the edge grayscale value of an adjacent image is greater than a preset value; Wherein, the position of each of the reference lamp beads in the corresponding detection unit is the same.

2. The display driving method according to claim 1, wherein: Each detection unit includes four lamp beads, and the four lamp beads are arranged in two rows and two columns.

3. The display driving method according to claim 1, wherein: The preset ratio is seventy percent.

4. The display driving method according to claim 1, wherein: In the step of compensating the grayscale of the adjacent images of the abnormal image, the brightness of the reference lamp beads in the abnormal unit is adjusted so that the difference between the grayscale value of the reference lamp beads and the grayscale values ​​of other reference lamp beads in the abnormal unit is less than the preset value.

5. The display driving method according to claim 1, wherein: The preset value is 150.

6. A display device, characterized in that: It comprises a display panel and a driving circuit, wherein the driving circuit adopts the display driving method according to any one of claims 1 to 5.

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