Method for displaying images on a display panel

Abstract

A method for displaying an image on a display panel includes: displaying an image of grayscale value A on the display panel; imaging the image of grayscale value A on the display panel using a camera; displaying an image of grayscale value B on the display panel; imaging the image of grayscale value B on the display panel using a camera; using imaged data of grayscale value A to determine a compensation parameter P of grayscale value A for each pixel in the display panel; determining a representative value Q of a probability distribution of the compensation parameter of grayscale value A based on the imaged data of grayscale value A; determining a representative value R of a probability distribution of the compensation parameter of grayscale value B based on the imaged data of grayscale value B; and using the compensation parameter P, the representative value Q, and the representative value R to compensate the input image data of each pixel.

Description

Technical Field

[0001] Example embodiments of the present inventive concept relate to a method for displaying an image on a display panel, a method for driving a display panel including the method, and a display device performing the method. More specifically, example embodiments of the present inventive concept relate to a method for displaying an image on a display panel that can effectively compensate for stains without increasing the capacity of a memory, a method for driving a display panel including the method, and a display device performing the method. Background Art

[0002] Typically, a display device includes a display panel and a display panel driver. The display panel displays an image based on input image data. The display panel includes a plurality of gate lines, a plurality of data lines, and a plurality of pixels. The display panel driver includes a gate driver that provides gate signals to the gate lines, a data driver that provides data voltages to the data lines, and a drive controller that controls the gate driver and the data driver.

[0003] Due to process variations in display panels, the brightness uniformity of the display panel may deteriorate. The driver controller can compensate for stains to improve the brightness uniformity of the display panel. When image data with a single grayscale level is used for stain compensation, the accuracy of the stain compensation may be reduced. When image data with multiple grayscale levels is used for stain compensation, increased memory capacity may be required. Summary of the Invention

[0004] Example embodiments of the inventive concept provide a method of displaying an image on a display panel capable of effectively compensating for stains and reducing the capacity of a memory.

[0005] Example embodiments of the inventive concepts also provide a method of driving a display panel including the method of displaying an image on the display panel.

[0006] Example embodiments of the inventive concepts also provide a display device performing the method of driving a display panel.

[0007] In an example embodiment of a method for displaying an image on a display panel according to the present invention, the method includes: displaying an image of grayscale value A on the display panel; imaging the image of grayscale value A on the display panel using a camera; displaying an image of grayscale value B on the display panel; imaging the image of grayscale value B on the display panel using a camera; using the imaged data of grayscale value A to determine a compensation parameter P of grayscale value A for each pixel in the display panel; determining a representative value Q of the probability distribution of the compensation parameter of grayscale value A based on the imaged data of grayscale value A; determining a representative value R of the probability distribution of the compensation parameter of grayscale value B based on the imaged data of grayscale value B; and using the compensation parameter P, the representative value Q, and the representative value R to compensate the input image data of each pixel.

[0008] In example embodiments, when the input grayscale value of the input image data is equal to or less than the grayscale value A, the input image data may be compensated using the compensation parameter P.

[0009] In an exemplary embodiment, when the input grayscale value of the input image data is greater than the grayscale value A and equal to or less than the grayscale value B, the compensation parameter P, the representative value Q, and the representative value R are used to predict the compensation parameter of the input grayscale value, and the input image data can be compensated using the predicted compensation parameter of the input grayscale value.

[0010] In an exemplary embodiment, when the input grayscale value of the input image data is greater than the grayscale value B, the compensation parameter P, the representative value Q, and the representative value R are used to predict the compensation parameter of the grayscale value B, and the predicted compensation parameter of the grayscale value B can be used to compensate the input image data.

[0011] In example embodiments, the representative value Q may include an average value of the compensation parameter of the gray value A and a standard deviation of the compensation parameter of the gray value A.

[0012] In example embodiments, the representative value R may include an average value of the compensation parameter of the gray value B and a standard deviation of the compensation parameter of the gray value B.

[0013] In example embodiments, compensating the input image data may include comparing a probability density function of the compensation parameter for grayscale value A with a probability density function of the compensation parameter for grayscale value T when the input grayscale value of the input image data is grayscale value T.

[0014] In an exemplary embodiment, when the compensation parameter of the gray value A is x A , the average value of the compensation parameter of gray value A is μ A , the standard deviation of the compensation parameter of gray value A is σ A , the average value of the compensation parameter of gray value T is μ T , the standard deviation of the compensation parameter of the gray value T is σ T , and the compensation parameter of the predicted input gray value is x T hour,

[0015] In example embodiments, the average value of the compensation parameter for gray value T may be determined by interpolating the average value of the compensation parameter for gray value A and the average value of the compensation parameter for gray value B. The standard deviation of the compensation parameter for gray value T may be determined by interpolating the standard deviation of the compensation parameter for gray value A and the standard deviation of the compensation parameter for gray value B.

[0016] In example embodiments, the compensation parameter of the gray value T may be determined by interpolating the compensation parameter of the gray value A and the compensation parameter of the gray value B.

[0017] In example embodiments, the input image data may be compensated using the compensation parameter P, the representative values ​​Q corresponding to the plurality of regions, and the representative values ​​R corresponding to the plurality of regions.

[0018] In example embodiments, the representative value Q of the first position in the display panel may be determined by interpolating the representative values ​​Q of regions adjacent to the first position. The representative value R of the first position in the display panel may be determined by interpolating the representative values ​​R of regions adjacent to the first position.

[0019] In an example embodiment of a method for driving a display panel according to the present invention, the method includes: compensating input image data using a compensation parameter (value P) of a gray value A, a representative value (value Q) of a probability distribution of the compensation parameter of the gray value A, and a representative value (value R) of a probability distribution of the compensation parameter of the gray value B to generate a data signal; converting the data signal into a data voltage; and outputting the data voltage to the display panel.

[0020] In example embodiments, when the input grayscale value of the input image data is equal to or less than the grayscale value A, the input image data may be compensated using the value P.

[0021] In an exemplary embodiment, when the input grayscale value of the input image data is greater than the grayscale value A and equal to or less than the grayscale value B, the value P, the value Q, and the value R are used to predict the compensation parameters of the input grayscale value, and the input image data can be compensated using the predicted compensation parameters of the input grayscale value.

[0022] In an example embodiment, when the input grayscale value of the input image data is greater than the grayscale value B, the compensation parameters of the grayscale value B are predicted using the values ​​P, Q, and R, and the input image data may be compensated using the predicted compensation parameters of the grayscale value B.

[0023] In an exemplary embodiment of a display device according to the present invention, a display panel, a drive controller, and a data driver are included. The drive controller is configured to compensate input image data using a compensation parameter (value P) of grayscale value A, a representative value (value Q) of a probability distribution of the compensation parameter of grayscale value A, and a representative value (value R) of a probability distribution of the compensation parameter of grayscale value B to generate a data signal. The data driver is configured to convert the data signal into a data voltage and output the data voltage to the display panel.

[0024] In example embodiments, the driving controller may be configured to compare the probability density function of the compensation parameter of gray value A with the probability density function of the compensation parameter of gray value T when the input gray value of the input image data is gray value T.

[0025] In an example embodiment, the driving controller may include: an interpolator configured to receive a value Q and a value R from a memory and output a representative value of a probability distribution of a compensation parameter of a grayscale value T and a value Q; a compensation parameter calculator configured to predict a compensation parameter of a grayscale value T using the representative value of the probability distribution of the compensation parameter of the grayscale value T, the value P, and the value Q; and a compensator configured to compensate input image data using the compensation parameter of the grayscale value T.

[0026] In an example embodiment, the driving controller may include: an area interpolator configured to receive values ​​Q corresponding to multiple areas and values ​​R corresponding to multiple areas from a memory and determine the value Q of a first area in the display panel and the value R of the first area in the display panel; a grayscale value interpolator configured to receive the value Q of the first area and the value R of the first area and output a representative value of the probability distribution of the value Q of the first area and the compensation parameter of the grayscale value T; a compensation parameter calculator configured to predict the compensation parameter of the grayscale value T using the value P, the value Q of the first area and the representative value of the probability distribution of the compensation parameter of the grayscale value T; and a compensator configured to compensate the input image data using the compensation parameter of the grayscale value T.

[0027] According to a method for displaying an image on a display panel, a method for driving a display panel, and a display device, the input grayscale value of input image data can be compensated using compensation parameters for grayscale value A, representative values ​​of the probability distribution of the compensation parameters for grayscale value A, and representative values ​​of the probability distribution of the compensation parameters for grayscale value B. Instead of directly storing the compensation parameters for grayscale value B in a memory, the representative values ​​of the probability distribution of the compensation parameters for grayscale value B can be stored in the memory, thereby improving the accuracy of stain compensation without significantly increasing the capacity of the memory. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The above and other features and advantages of the present inventive concept will become more apparent by describing in detail example embodiments of the present inventive concept with reference to the accompanying drawings, in which:

[0029] Figure 1 is a block diagram illustrating a display device according to an example embodiment of the inventive concept;

[0030] Figure 2 Is to show compensation Figure 1 A flowchart of a method for removing stains from a display panel;

[0031] Figure 3 It shows Figure 2 Conceptual diagram of step S110 and step S120;

[0032] Figure 4 Is to show compensation Figure 1 A flowchart of a method for removing stains from a display panel;

[0033] Figure 5 It shows Figure 4 A conceptual diagram of step S250;

[0034] Figure 6 It shows that when Figure 1 The probability density function of the compensation parameter when an image with gray value A is displayed on the display panel and the probability density function of the compensation parameter when Figure 1 a graph of a probability density function of a compensation parameter when an image having a gray value B is displayed on a display panel;

[0035] Figure 7 It shows that when Figure 1 a graph of an error function of compensation parameters when an image having a grayscale value A is displayed on a display panel;

[0036] Figure 8 It shows that when Figure 1 a graph showing an average value of a compensation parameter of a gray value T when an image having a gray value T is displayed on a display panel;

[0037] Figure 9 It shows that when Figure 1 a graph showing a standard deviation of a compensation parameter of a grayscale value T when an image having a grayscale value T is displayed on a display panel;

[0038] Figure 10 It shows that when Figure 1 a graph of compensation parameters of a gray value T when an image having a gray value T is displayed on a display panel;

[0039] Figure 11 It shows Figure 1 The block diagram of the drive controller;

[0040] Figure 12 is a block diagram illustrating a driving controller of a display device according to an example embodiment of the inventive concept; and

[0041] Figure 13 It shows Figure 12 Conceptual diagram of the operation of a zone interpolator. DETAILED DESCRIPTION

[0042] Hereinafter, the present inventive concept will be described in detail with reference to the accompanying drawings.

[0043] Figure 1 is a block diagram illustrating a display device according to an example embodiment of the inventive concept.

[0044] refer to Figure 1The display device includes a display panel 100 and a display panel driver. The display panel driver includes a driving controller 200, a gate driver 300, a gamma reference voltage generator 400, and a data driver 500.

[0045] The driving controller 200 and the data driver 500 may be integrally formed. The driving controller 200, the gamma reference voltage generator 400, and the data driver 500 may be integrally formed. A data driver including the driving controller 200 and the data driver 500 embedded in one chip may be referred to as a timing controller embedded data driver (TED).

[0046] The display panel 100 has a display area displaying an image and a peripheral area adjacent to the display area.

[0047] The display panel 100 includes a plurality of gate lines GL, a plurality of data lines DL, and a plurality of pixels PX connected to the gate lines GL and the data lines DL. The gate lines GL extend in a first direction D1, and the data lines DL extend in a second direction D2 crossing the first direction D1.

[0048] The drive controller 200 receives input image data IMG and an input control signal CONT from an external device (not shown). The input image data IMG may include red image data, green image data, and blue image data. The input image data IMG may include white image data. The input image data IMG may include magenta image data, yellow image data, and cyan image data. The input control signal CONT may include a main clock signal and a data enable signal. The input control signal CONT may further include a vertical synchronization signal and a horizontal synchronization signal.

[0049] The driving controller 200 generates a first control signal CONT1 , a second control signal CONT2 , a third control signal CONT3 , and a data signal DATA based on input image data IMG and an input control signal CONT.

[0050] The driving controller 200 generates a first control signal CONT1 for controlling the operation of the gate driver 300 based on the input control signal CONT and outputs the first control signal CONT1 to the gate driver 300. The first control signal CONT1 may include a vertical start signal and a gate clock signal.

[0051] The driving controller 200 generates a second control signal CONT2 for controlling the operation of the data driver 500 based on the input control signal CONT, and outputs the second control signal CONT2 to the data driver 500. The second control signal CONT2 may include a horizontal start signal and a load signal.

[0052] The driving controller 200 generates a data signal DATA based on the input image data IMG and outputs the data signal DATA to the data driver 500 .

[0053] The driving controller 200 generates a third control signal CONT3 for controlling the operation of the gamma reference voltage generator 400 based on the input control signal CONT, and outputs the third control signal CONT3 to the gamma reference voltage generator 400 .

[0054] The driving controller 200 may compensate for stains of the display panel 100 to improve brightness uniformity of the display panel 100 .

[0055] refer to Figures 2 to 11 The structure and operation of the drive controller 200 are described in detail.

[0056] The gate driver 300 generates a gate signal for driving the gate line GL in response to the first control signal CONT1 received from the drive controller 200. The gate driver 300 outputs the gate signal to the gate line GL. For example, the gate driver 300 may sequentially output the gate signal to the gate line GL. The gate driver 300 may be mounted in the peripheral area of ​​the display panel 100. However, the gate driver 300 may be integrated in the peripheral area of ​​the display panel 100.

[0057] The gamma reference voltage generator 400 generates a gamma reference voltage VGREF in response to the third control signal CONT3 received from the driving controller 200. The gamma reference voltage generator 400 provides the gamma reference voltage VGREF to the data driver 500. The gamma reference voltage VGREF has a value corresponding to a level of the data signal DATA.

[0058] In example embodiments, the gamma reference voltage generator 400 may be provided in the driving controller 200 or the data driver 500 .

[0059] The data driver 500 receives the second control signal CONT2 and the data signal DATA from the driving controller 200, and receives the gamma reference voltage VGREF from the gamma reference voltage generator 400. The data driver 500 converts the data signal DATA into an analog data voltage using the gamma reference voltage VGREF. The data driver 500 outputs the data voltage to the data line DL.

[0060] Figure 2 Is to show compensation Figure 1 Flowchart of a method for removing stains from a display panel. Figure 3 It shows Figure 2 A conceptual diagram of step S110 and step S120.

[0061] refer to Figures 1 to 3 , all pixels in the display panel 100 may display an image with grayscale value A, and the image with grayscale value A on the display panel 100 may be imaged using the camera CAM (step S110). All pixels in the display panel 100 may display an image with grayscale value B, and the image with grayscale value B on the display panel 100 may be imaged using the camera CAM (step S120). Here, the grayscale value B may be greater than the grayscale value A.

[0062] The compensation parameter (value P) of each pixel in the display panel 100 is determined using the imaged data of the gray value A (step S130). The compensation parameter (value P) of each pixel can be determined. The compensation parameter (value P) can be determined to reduce the brightness difference between pixels at the gray value A.

[0063] A representative value (value Q) of the probability distribution of the compensation parameter (value P) of the gray value A can be extracted from the imaged data of the gray value A (step S140). Here, the representative value (value Q) of the probability distribution of the compensation parameter of the gray value A can be the average value of the compensation parameter of the gray value A and the standard deviation of the compensation parameter of the gray value A.

[0064] The compensation parameter of each pixel in the display panel 100 is determined using the imaged gray value B. The compensation parameter may be determined for each pixel at the gray value B. The compensation parameter is determined to reduce a brightness difference between pixels.

[0065] A representative value (value R) of the probability distribution of the compensation parameter of the gray value B may be extracted from the imaged data of the gray value B (step S150). Here, the representative value (value R) of the probability distribution of the compensation parameter of the gray value B may be the average value of the compensation parameter of the gray value B and the standard deviation of the compensation parameter of the gray value B.

[0066] The input image data IMG may be compensated using the value P, the value Q, and the value R. The value P, the value Q, and the value R may be stored in the memory of the driving controller 200 (step S160). The compensation parameters for each pixel in the display panel 100 of the imaged grayscale value B are not stored in the memory of the driving controller 200 to save memory space in the memory.

[0067] Steps S110 to S160 may be performed before normal driving of the display panel 100 .

[0068] Figure 4 Is to show compensation Figure 1 Flowchart of a method for removing stains from the display panel 100. Figure 5 It shows Figure 4 A conceptual diagram of step S250. Figure 6 It shows that when Figure 1The probability density function of the compensation parameter when an image with gray value A is displayed on the display panel 100 and the probability density function of the compensation parameter when Figure 1 FIG. 1 is a graph showing a probability density function of compensation parameters when an image having a grayscale value B is displayed on the display panel 100 . Figure 7 It shows that when Figure 1 FIG. 1 is a graph showing an error function of compensation parameters when an image having a grayscale value A is displayed on the display panel 100 . Figure 8 It shows that when Figure 1 A graph showing average values ​​of compensation parameters of a grayscale value T when an image having a grayscale value T is displayed on the display panel 100. Figure 9 It shows that when Figure 1 A graph showing a standard deviation of compensation parameters of a grayscale value T when an image having a grayscale value T is displayed on the display panel 100 . Figure 10 It shows that when Figure 1 A graph showing compensation parameters of a grayscale value T when an image having a grayscale value T is displayed on the display panel 100.

[0069] refer to Figures 1 to 10 When the display device is turned on, the driving controller 200 may load the value Q, the value R, and the value P of each pixel in the display panel 100 from the memory (step S210 ).

[0070] When the input grayscale value of the input image data IMG of the pixel is equal to or less than the grayscale value A (step S220 ), the input image data IMG may be compensated using the value P (step S230 ).

[0071] When the input grayscale value of the input image data IMG of a pixel is greater than the grayscale value A and equal to or less than the grayscale value B (step S240), the value P, the value Q and the value R can be used to predict the compensation parameters of the input grayscale value of the pixel, and the predicted compensation parameters of the pixel can be used to compensate for the input grayscale value (step S250).

[0072] When the input grayscale value of the input image data IMG of the pixel is greater than the grayscale value B, the compensation parameters of the grayscale value B can be predicted using the values ​​P, Q and R, and the input grayscale value can be compensated using the predicted compensation parameters of the grayscale value B (step S260).

[0073] Steps S210 to S260 may be performed in normal driving of the display panel 100 .

[0074] like Figure 5 As shown in , in the step of compensating the input image data IMG, the probability density function (PDF) of the compensation parameter of the gray value A can be compared with the probability density function (PDF) of the predicted compensation parameter of the gray value B.

[0075] All compensation parameters for grayscale value A are stored in the memory. In contrast, compensation parameters for grayscale value B are not stored in the memory. Instead, representative values ​​Q (e.g., mean and standard deviation) of the probability distribution of compensation parameters for grayscale value A and representative values ​​R (e.g., mean and standard deviation) of the probability distribution of compensation parameters for grayscale value B are stored in the memory. Compensation parameters P for grayscale value A, representative values ​​Q of the probability distribution of compensation parameters for grayscale value A, and representative values ​​R of the probability distribution of compensation parameters for grayscale value B can be used to predict compensation parameters for grayscale value B.

[0076] exist Figure 6 In FIG, an example of the probability density function of the compensation parameter of the gray value A and the probability density function of the compensation parameter of the gray value B is shown. Figure 6 , when the compensation parameter is 1, the input grayscale value may not be compensated. When the compensation parameter is 1.1, the input grayscale value 100 may be compensated to 110. Pixels with a compensation parameter greater than 1 (e.g., 1.1) may be relatively dark, so that pixels with a compensation parameter of 1.1 may be compensated to be brighter. When the compensation parameter is less than 1.0 (e.g., 0.9), the input grayscale value 100 may be compensated to 90. Pixels with a compensation parameter of 0.9 may be relatively bright, so that pixels with a compensation parameter of 0.9 may be compensated to be darker. The probability density function of the compensation parameter of grayscale value A may be expressed as the following formula 1, and the probability density function of the compensation parameter of grayscale value B may be expressed as the following formula 2. Here, the average value of the compensation parameter of grayscale value A is μ A , the standard deviation of the compensation parameter of gray value A is σ A , the average value of the compensation parameter of gray value B is μ B , and the standard deviation of the compensation parameter of the gray value B is σ B .

[0077] [Formula 1]

[0078]

[0079] [Formula 2]

[0080]

[0081] In order to predict the compensation parameter of gray value B using the compensation parameter (value P) of gray value A, the representative value (value Q) of the probability distribution of the compensation parameter of gray value A, and the representative value (value R) of the probability distribution of the compensation parameter of gray value B, the cumulative distribution function (CDF) of the compensation parameter of gray value A and the cumulative distribution function (CDF) of the compensation parameter of gray value B can be compared. The cumulative distribution function (CDF) of the compensation parameter of gray value A is the integral of the probability density function (PDF) of the compensation parameter of gray value A. The cumulative distribution function (CDF) of the compensation parameter of gray value A can be expressed as the following formula 3. The cumulative distribution function (CDF) of the compensation parameter of gray value B is the integral of the probability density function (PDF) of the compensation parameter of gray value B. The cumulative distribution function (CDF) of the compensation parameter of gray value B can be expressed as the following formula 4.

[0082] [Formula 3]

[0083]

[0084] [Formula 4]

[0085]

[0086] The error function erf in Formula 3 and Formula 4 can be defined as the following Formula 5. The error function erf is shown as Figure 7 The curve graph in .

[0087] [Formula 5]

[0088]

[0089] Assuming that the cumulative distribution function (CDF) of the compensation parameter of grayscale value A is the same as the cumulative distribution function (CDF) of the compensation parameter of grayscale value B, the compensation parameter of grayscale value A (value P), the representative value of the probability distribution of the compensation parameter of grayscale value A (value Q) and the representative value of the probability distribution of the compensation parameter of grayscale value B (value R) are used to predict the compensation parameter of grayscale value B, the following formula 6 is obtained and finally formula 7 is obtained from formula 6.

[0090] [Formula 6]

[0091]

[0092] [Formula 7]

[0093]

[0094] In formula 7, the compensation parameter of gray value A is x A , and the compensation parameter of the predicted gray value B is x B .

[0095] When the input gray value is T, the compensation parameter of the gray value T can be predicted by comparing the probability density function of the compensation parameter of the gray value A with the probability density function of the compensation parameter of the gray value T.

[0096] When the compensation parameter of gray value A is x A , the average value of the compensation parameter of gray value A is μ A , the standard deviation of the compensation parameter of gray value A is σ A , the average value of the compensation parameter of gray value T is μ T , the standard deviation of the compensation parameter of the gray value T is σ T , and the compensation parameter of the predicted input gray value is x T When , Formula 8 is satisfied.

[0097] [Formula 8]

[0098]

[0099] like Figure 8 As shown in , the average value μ of the compensation parameter of the gray value A can be obtained A The average value μ of the compensation parameter of gray value B B The average value μ of the compensation parameter of gray value T is determined by linear interpolation T .

[0100] like Figure 9 As shown in A and the standard deviation σ of the compensation parameters of the gray value B B The standard deviation σ of the compensation parameter of gray value T is determined by linear interpolation T .

[0101] For example, as shown in Formula 8 and Figure 8 and Figure 9 As explained above, the average value μ of the compensation parameter of the gray value T can be used T and the standard deviation σ of the compensation parameters of the gray value T T To predict the compensation parameter x of the gray value T T .

[0102] Alternatively, as Figure 10 As shown in A and compensation parameter x of gray value B B Linear interpolation is used to obtain the compensation parameter x of the gray value T T .

[0103] In this example embodiment, by assuming that the compensation parameters located in the lower 20% of the cumulative distribution function of grayscale value A are also located in the lower 20% of the cumulative distribution function of grayscale value B, the compensation parameters of grayscale value B can be predicted using the compensation parameters P of grayscale value A, the representative value Q of the probability distribution of the compensation parameters of grayscale value A, and the representative value R of the probability distribution of the compensation parameters of grayscale value B.

[0104] Similarly, by assuming that the compensation parameters located in the upper 40% of the cumulative distribution function of grayscale value A are also located in the upper 40% of the cumulative distribution function of grayscale value B, the compensation parameters P of grayscale value A, the representative value Q of the probability distribution of the compensation parameters of grayscale value A, and the representative value R of the probability distribution of the compensation parameters of grayscale value B can be used to predict the compensation parameters of grayscale value B.

[0105] When the input grayscale value is between grayscale value A and grayscale value B, the compensation value of the input grayscale value may be determined by linear interpolation of the compensation parameter of grayscale value A and the compensation parameter of grayscale value B.

[0106] Figure 11 It shows Figure 1 1 is a block diagram of the driving controller 200.

[0107] refer to Figures 1 to 11 , the driving controller 200 may compensate the input image data IMG using the compensation parameter P of the image having the gray value A, the representative value Q of the probability distribution of the compensation parameter of the gray value A, and the representative value R of the probability distribution of the compensation parameter of the gray value B to generate the data signal DATA.

[0108] The driving controller 200 may include a memory 210 , a buffer 220 , an interpolator 230 , a compensation parameter calculator 240 , and a compensator 250 .

[0109] The memory 210 may store a value P, a value Q, and a value R.

[0110] The buffer 220 may buffer the input image data IMG and output the input image data IMG to the interpolator 230 and the compensator 250 .

[0111] The interpolator 230 may receive the value Q and the value R from the memory 210 and output a representative value of the probability distribution of the compensation parameter of the gray value T and the value Q.

[0112] The compensation parameter calculator 240 may predict the compensation parameter x of the gray value T using the representative value of the probability distribution of the compensation parameter of the gray value T, the value P, and the value Q. T The compensation parameter calculator 240 can predict the compensation parameter x of the gray value T using Formula 8. T .

[0113] The compensator 250 can use the compensation parameter x of the gray value T T To compensate the input image data IMG.

[0114] According to this exemplary embodiment, the input grayscale value of the input image data IMG may be compensated using the compensation parameter P of the image having the grayscale value A, the representative value Q of the probability distribution of the compensation parameter for the grayscale value A, and the representative value R of the probability distribution of the compensation parameter for the grayscale value B. Instead of directly storing the compensation parameter for the grayscale value B in the memory, the representative value of the probability distribution of the compensation parameter for the grayscale value B may be stored in the memory, thereby improving the accuracy of stain compensation without significantly increasing the capacity of the memory.

[0115] Figure 12 is a block diagram illustrating a driving controller of a display device according to an example embodiment of the inventive concept. Figure 13 It shows Figure 12 Conceptual diagram of the operation of a zone interpolator.

[0116] The method of compensating for stains of a display panel, the method of driving a display panel, and the display device according to the present exemplary embodiment are different from those of the reference except that the display panel includes a plurality of regions and the values ​​R and Q of the respective regions are used to compensate for input image data. Figures 1 to 11 The method of compensating for stains of a display panel, the method of driving a display panel, and the display device of the previously described exemplary embodiments are substantially the same. Therefore, the same reference numerals will be used to refer to the same components as those in the embodiment. Figures 1 to 12 The present invention relates to components that are the same as or similar to those described in the previous example embodiments, and any repeated explanation regarding the above elements will be omitted.

[0117] refer to Figures 1 to 10 、 Figure 12 and Figure 13 The display device includes a display panel 100 and a display panel driver. The display panel driver includes a driving controller 200, a gate driver 300, a gamma reference voltage generator 400, and a data driver 500.

[0118] When the display device is turned on, the driving controller 200 may load the value P, the value Q, and the value R from the memory (step S210 ).

[0119] When the input grayscale value of the input image data IMG is equal to or less than the grayscale value A (step S220 ), the input image data IMG may be compensated using the value P (step S230 ).

[0120] When the input grayscale value of the input image data IMG is greater than the grayscale value A and equal to or less than the grayscale value B (step S240), the compensation parameters of the input grayscale value can be predicted using the values ​​P, Q, and R, and the input grayscale value can be compensated using the predicted compensation parameters (step S250).

[0121] When the input gray value of the input image data IMG is greater than the gray value B, compensation parameters of the gray value B may be predicted using the values ​​P, Q, and R, and the input gray value may be compensated using the predicted compensation parameters (step S260).

[0122] Here, in step S260 , the input grayscale value may be compensated using the value Q corresponding to the plurality of regions and the value R corresponding to the plurality of regions.

[0123] The value Q of the first position in the display panel 100 may be determined by interpolating the values ​​Q of regions adjacent to the first position (or first region). The value Q may be an average value and a standard deviation of compensation parameters of the gray value A.

[0124] For example, the average value μ of the compensation parameter of the gray value A of the area adjacent to the first position in space can be obtained. A1 、μ A2 、μ A3 and μ A4 Interpolation is performed to generate an average value μ of the compensation parameter of the gray value A at the first position in the display panel 100 A For example, the standard deviation σ of the compensation parameter of the gray value A of the area spatially adjacent to the first position can be obtained by A1 , σ A2 , σ A3 and σ A4 Interpolation is performed to generate a standard deviation σ of the compensation parameter of the gray value A at the first position in the display panel 100 A .

[0125] The value R of the first position in the display panel 100 may be determined by interpolating the values ​​R of regions adjacent to the first position. The value R may be an average value and a standard deviation of compensation parameters of the gray value B.

[0126] For example, the average value μ of the compensation parameter of the gray value B of the area adjacent to the first position in space can be obtained by B1 、μ B2 、μ B3 and μ B4 Interpolation is performed to generate an average value μ of the compensation parameter of the gray value B at the first position in the display panel 100 B For example, the standard deviation σ of the compensation parameter of the gray value B of the area spatially adjacent to the first position can be obtained byB1 , σ B2 , σ B3 and σ B4 Interpolation is performed to generate a standard deviation σ of the compensation parameter of the grayscale value B at the first position in the display panel 100 B .

[0127] The driving controller 200 may compensate the input image data IMG using the compensation parameter P of the image having the gray value A, the representative value Q of the probability distribution of the compensation parameter of the gray value A, and the representative value R of the probability distribution of the compensation parameter of the gray value B to generate the data signal DATA.

[0128] The driving controller 200 may include a memory 210 , a buffer 220 , an area interpolator 225 , a gray value interpolator 230 , a compensation parameter calculator 240 , and a compensator 250 .

[0129] The memory 210 may store a value P, a value Q corresponding to a region, and a value R corresponding to a region.

[0130] The buffer 220 may buffer the input image data IMG and output the input image data IMG to the area interpolator 225 , the gray value interpolator 230 , and the compensator 250 .

[0131] The region interpolator 225 may receive the values ​​Q and the values ​​R of the plurality of regions from the memory 210 and output the value Q of the first position and the value R of the first position to the gray value interpolator 230 .

[0132] The gray value interpolator 230 may receive the value Q of the first position and the value R of the first position from the area interpolator 225 and output a representative value of the probability distribution of the compensation parameter of the value Q of the first position and the gray value T.

[0133] The compensation parameter calculator 240 may predict the compensation parameter x of the gray value T using the value P, the value Q of the first position, and a representative value of the probability distribution of the compensation parameter of the gray value T. T The compensation parameter calculator 240 can predict the compensation parameter x of the gray value T using Formula 8. T .

[0134] The compensator 250 can use the compensation parameter x of the gray value T T To compensate the input image data IMG.

[0135] According to this exemplary embodiment, the input grayscale value of the input image data IMG may be compensated using the compensation parameter P of the image having the grayscale value A, the representative value Q of the probability distribution of the compensation parameter for the grayscale value A, and the representative value R of the probability distribution of the compensation parameter for the grayscale value B. Instead of directly storing the compensation parameter for the grayscale value B in the memory, the representative value of the probability distribution of the compensation parameter for the grayscale value B may be stored in the memory, thereby improving the accuracy of stain compensation without significantly increasing the capacity of the memory.

[0136] According to the present exemplary embodiment, stains of a display panel can be effectively compensated without significantly increasing the capacity of a memory.

[0137] The foregoing is illustrative of the inventive concept and should not be construed as limiting thereof. Although some example embodiments of the inventive concept have been described, it will be readily apparent to those skilled in the art that many modifications may be made to the example embodiments without materially departing from the novel teachings and advantages of the inventive concept. It is therefore intended that all such modifications be included within the scope of the inventive concept as defined in the claims. In the claims, means-plus-function clauses are intended to cover structures described herein as performing the detailed functions, and not only structural equivalents, but also equivalent structures. It should therefore be understood that the foregoing is illustrative of the inventive concept and should not be construed as limited to the specific example embodiments disclosed, and is intended to include modifications to the disclosed example embodiments as well as other example embodiments within the scope of the appended claims. The inventive concept is defined by the appended claims, which include equivalents of the claims.

Claims

1. A method for displaying an image on a display panel, the method comprising: Displaying an image with a grayscale value A on the display panel; Imaging the image of the grayscale value A on the display panel using a camera; Displaying an image with a grayscale value B on the display panel; Imaging the image of the grayscale value B on the display panel using the camera; Determine a compensation parameter P of the grayscale value A of each pixel in the display panel using the imaged data of the grayscale value A; Determining a representative value Q of a probability distribution of the compensation parameter P of the grayscale value A according to the imaged data of the grayscale value A; Determining a representative value R of a probability distribution of a compensation parameter of the grayscale value B according to the imaging data of the grayscale value B; as well as The compensation parameter P, the representative value Q, and the representative value R are used to compensate the input image data of each pixel.

2. The method according to claim 1, wherein When the input grayscale value of the input image data is equal to or less than the grayscale value A, the compensation parameter P is used to compensate the input image data.

3. The method according to claim 2, wherein: When the input grayscale value of the input image data is greater than the grayscale value A and equal to or less than the grayscale value B, the compensation parameter P, the representative value Q and the representative value R are used to predict the compensation parameter of the input grayscale value, and the predicted compensation parameter of the input grayscale value is used to compensate the input image data.

4. The method according to claim 3, wherein: When the input grayscale value of the input image data is greater than the grayscale value B, the compensation parameter P, the representative value Q and the representative value R are used to predict the compensation parameter of the grayscale value B, and the predicted compensation parameter of the grayscale value B is used to compensate the input image data.

5. The method according to claim 1, wherein The representative value Q includes an average value of the compensation parameter P of the grayscale value A and a standard deviation of the compensation parameter P of the grayscale value A.

6. The method according to claim 5, wherein: The representative value R includes an average value of the compensation parameter of the grayscale value B and a standard deviation of the compensation parameter of the grayscale value B.

7. The method according to claim 6, wherein: The compensating of the input image data includes: when the input grayscale value of the input image data is grayscale value T, comparing the probability density function of the compensation parameter P of the grayscale value A with the probability density function of the compensation parameter of the grayscale value T.

8. The method according to claim 7, wherein: When the compensation parameter P of the gray value A is x A , the average value of the compensation parameter P of the gray value A is μ A , the standard deviation of the compensation parameter P of the gray value A is σ A The average value of the compensation parameter of the gray value T is μ T , the standard deviation of the compensation parameter of the gray value T is σ T , and the predicted compensation parameter of the input gray value is x T hour, 9. The method according to claim 7, wherein: determining an average value of the compensation parameter for the gray value T by interpolating the average value of the compensation parameter P for the gray value A and the average value of the compensation parameter for the gray value B, and The standard deviation of the compensation parameter of the grayscale value T is determined by interpolating the standard deviation of the compensation parameter P of the grayscale value A and the standard deviation of the compensation parameter of the grayscale value B.

10. The method according to claim 7, wherein: The compensation parameter of the gray value T is determined by interpolating the compensation parameter P of the gray value A and the compensation parameter of the gray value B.

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