WO2020093619A1

WO2020093619A1 - Method and device for detecting high-frequency component in image on display device

Info

Publication number: WO2020093619A1
Application number: PCT/CN2019/075181
Authority: WO
Inventors: 关晓亮; 吴宇
Original assignee: 深圳市华星光电半导体显示技术有限公司
Priority date: 2018-11-09
Filing date: 2019-02-15
Publication date: 2020-05-14
Also published as: CN109326245A

Abstract

A method and device for detecting a high-frequency component in an image on a display device. The method comprises: using the maximum value of the difference between the original grayscale value of an image pixel (100) to be detected and the original grayscale value of a first image pixel (200) as a first grayscale difference, using the maximum value of the difference between the original grayscale value of the image pixel (100) to be detected and the original grayscale value of a second image pixel (300) as a second grayscale difference, and calculating a target grayscale difference according to a target grayscale difference algorithm and the first and second grayscale differences.

Description

Method and device for detecting high frequency component in image of display device

Technical field

The present disclosure relates to the field of display technology, and in particular, to a method and device for detecting high-frequency components in an image of a display device.

Background technique

In the image processing of the display device, the area where the brightness or gradation changes drastically in the image is called the high frequency component, and vice versa is called the low frequency component. In the prior art, the detection of the high frequency component in the image of the display device is limited The detected image pixels and the image pixels in the layer adjacent to them have a small detection range. In this case, the high-frequency components will appear grainy after being processed by the color shift compensation algorithm, resulting in reduced display quality.

Therefore, there is a need to provide a method and device for detecting high-frequency components in an image of a display device to solve the problems in the prior art.

technical problem

In the prior art, the detection of high-frequency components in the image of the display device is limited to the image pixels to be detected and the image pixels of the layer adjacent thereto, and the detection range is small. In this case, the high-frequency components pass through The color shift compensation algorithm will appear grainy after processing, resulting in reduced display quality.

Technical solution

In order to solve the above technical problems, an object of the present disclosure is to provide a method and device for detecting high-frequency components in an image of a display device, which can optimize the detection process of high-frequency components in an image and improve display quality.

To achieve the above objective, the present disclosure provides a method for detecting high-frequency components in an image of a display device, including:

Step S1, obtaining the original grayscale value of the image pixels in the image to be processed of the display device, the image pixels including the image pixels to be detected, a plurality of first image pixels and a plurality of second image pixels;

Step S2: Calculate a first grayscale difference value, where the first grayscale difference value is the maximum value of the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the first image pixel;

Step S3: Calculate a second grayscale difference value, where the second grayscale difference value is the maximum difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the second image pixel Value; and

Step S4: Calculate the target gray scale difference according to the target gray scale difference algorithm, the first gray scale difference and the second gray scale difference.

In one embodiment of the present disclosure, the first image pixel is located in a first layer on the periphery of the image pixel to be detected and surrounds the image pixel to be detected, and the second image pixel is located in the image to be detected The second layer of the periphery of the pixel partially surrounds the first image pixel.

In one embodiment of the present disclosure, when the image pixels to be detected are located in the current row of the image pixels, the first image pixels are located in a row above and below the current row of the image pixels, The second image pixel is located in the previous row, the upper two rows, and the next row of the current row of the image pixels, and the second image pixel is not located in the lower two rows of the current row of the image pixels Row.

In one embodiment of the present disclosure, the method further includes: Step S5: Compare the target gray scale difference with a preset gray scale threshold, if the target gray scale difference is greater than the predetermined gray The order threshold value determines that the image pixels to be detected are high-frequency image pixels, otherwise, the image pixels to be detected are low-frequency image pixels.

In one embodiment of the present disclosure, when the image pixel to be detected is a high-frequency image pixel, the method further includes: Step S6, adjusting the high level according to a preset adjustment algorithm and the target grayscale difference The actual grayscale value of the high-frequency image pixel, reducing the absolute difference between the actual grayscale value of the high-frequency image pixel and the original grayscale value of the high-frequency image pixel; the actual grayscale value is The grayscale value obtained after the original grayscale value of the high-frequency image pixel is subjected to color shift compensation.

In one embodiment of the present disclosure, the target grayscale difference algorithm in step S4 is: F = axFAl + bxFA2, where F is the target grayscale difference and FA1 is the first gray Step difference value, FA2 is the second gray scale difference value, a is a preset first weight value, and b is a preset second weight value.

In one embodiment of the present disclosure, each image pixel in the step S1 includes a first primary color component, a second primary color component, and a third primary color component, and the original grayscale value of each image pixel includes the first primary color The original grayscale value of the component, the original grayscale value of the second primary color component, and the original grayscale value of the third primary color component.

In an embodiment of the disclosure, the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the first image pixel is: The difference between the original grayscale value of the first primary color component and the original grayscale value of the first primary color component in the first image pixel, the second of the image pixels to be detected The difference between the original grayscale value of the primary color component and the original grayscale value of the second primary color component in the first image pixel and the third primary color component of the image pixel to be detected The largest one of the differences between the original grayscale value and the original grayscale value of the third primary color component in the first image pixel.

In one embodiment of the present disclosure, the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the second image pixel is: The difference between the original grayscale value of the first primary color component and the original grayscale value of the first primary color component in the second image pixel, the second of the image pixels to be detected The difference between the original grayscale value of the primary color component and the original grayscale value of the second primary color component in the second image pixel and the third primary color component of the image pixel to be detected The largest one of the differences between the original grayscale value and the original grayscale value of the third primary color component in the second image pixel.

In one embodiment of the present disclosure, the preset adjustment algorithm in the step S6 is: L '= (L-Lo) xC + L0, where L' is the actual gray after adjustment by the preset adjustment algorithm Level value, L0 is the original grayscale value of the high-frequency image pixels, L is the actual grayscale value of the high-frequency image pixels before adjustment by the preset adjustment algorithm, and C is the preset adjustment Coefficient, the value range of the preset adjustment coefficient is 0 ~ 1, and the preset adjustment coefficient decreases as the target gray scale difference increases.

The present disclosure also provides a device for detecting high-frequency components in an image of a display device, including:

Acquisition unit;

The first calculation unit, connected to the acquisition unit;

A second computing unit connected to the first computing unit; and

Judgment unit, connected to the second calculation unit;

Wherein the acquisition unit is used to acquire the original grayscale value of the image pixels in the image to be processed of the display device, the image pixels include the image pixels to be detected, a plurality of first image pixels and a plurality of second image pixels;

The first calculation unit is used to calculate a first grayscale difference value and a second grayscale difference value, the first grayscale difference value is the original grayscale value of the pixel to be detected and the first image The maximum value of the difference between the original grayscale values of the pixels, and the second grayscale difference value is the difference between the original grayscale value of the pixel to be detected and the original grayscale value of the second image pixel Maximum value; and

The second calculation unit is used to calculate the target gray scale difference value according to the target gray scale difference algorithm, the first gray scale difference value and the second gray scale difference value.

In one embodiment of the present disclosure, the judgment unit is used to compare the target gray scale difference with a preset gray scale threshold, if the target gray scale difference is greater than the preset gray scale threshold , The determination unit determines that the image pixel to be detected is a high-frequency image pixel, otherwise, the determination unit determines that the image pixel to be detected is a low-frequency image pixel.

In one embodiment of the present disclosure, the device for detecting high-frequency components in the image of the display device further includes an adjustment unit connected to the judgment unit, wherein the adjustment unit is used to adjust the algorithm according to a preset The target grayscale difference adjusts the actual grayscale value of the high-frequency image pixel, and reduces the difference between the actual grayscale value of the high-frequency image pixel and the original grayscale value of the high-frequency image pixel Absolute difference; the actual grayscale value is the grayscale value obtained after the original grayscale value of the high-frequency image pixel is subjected to color shift compensation.

In one embodiment of the present disclosure, the target grayscale difference algorithm is: F = axFAl + bxFA2, where F is the target grayscale difference, FA1 is the first grayscale difference, FA2 Is the second gray scale difference value, a is a preset first weight value, and b is a preset second weight value.

In one embodiment of the present disclosure, each image pixel includes a first primary color component, a second primary color component, and a third primary color component, and the original grayscale value of each image pixel includes the original grayscale of the first primary color component Value, the original grayscale value of the second primary color component and the original grayscale value of the third primary color component.

In one embodiment of the present disclosure, the preset adjustment algorithm is: L ’= (L-Lo) xC + L0, where L 'is the actual grayscale value adjusted by the preset adjustment algorithm, L0 is the original grayscale value of the high-frequency image pixel, and L is the preset grayscale value The actual grayscale value of the high-frequency image pixels before adjustment algorithm adjustment, C is a preset adjustment coefficient, the value range of the preset adjustment coefficient is 0 ~ 1, and the preset adjustment coefficient The target gray scale difference increases and decreases.

Beneficial effect

Compared with the prior art, in order to solve the above technical problems, the embodiments of the present disclosure provide a method and device for detecting high-frequency components in an image of a display device. This embodiment uses the maximum value of the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the first image pixel as the first grayscale difference value, and uses the original grayscale value of the image pixel to be detected and the second The maximum value of the difference between the original grayscale values of the image pixels is used as the second grayscale difference, and then the target grayscale difference is calculated according to the target grayscale difference algorithm, the first grayscale difference and the second grayscale difference Value, and then compare the target grayscale difference with a preset grayscale threshold to determine whether the image pixel to be detected is a high-frequency image pixel, and then adjust the actual grayscale value of the high-frequency image pixel to reduce the high-frequency image The difference between the actual grayscale value of the pixel and the original grayscale value can optimize the detection process of high-frequency components in the image and improve the display quality.

BRIEF DESCRIPTION

1 shows a schematic diagram of image pixels in a to-be-processed image of a display device according to an embodiment of the present disclosure;

2 shows a flowchart of a method of detecting high-frequency components in an image of a display device according to an embodiment of the present disclosure; and

FIG. 3 shows a schematic diagram of an apparatus for detecting high-frequency components in an image of a display device according to an embodiment of the present disclosure.

Best Mode of the Invention

The descriptions of the following embodiments refer to the attached drawings to illustrate specific embodiments that can be implemented in the present disclosure.

In order to make the above-mentioned and other objects, features, and advantages of the present disclosure more comprehensible, the preferred embodiments of the present disclosure will be cited below in conjunction with the accompanying drawings, which will be described in detail below. Furthermore, the directional terms mentioned in this disclosure, such as top, bottom, top, bottom, front, back, left, right, inner, outer, side layer, surrounding, center, horizontal, horizontal, vertical, vertical, longitudinal, axial , Radial, uppermost or lowermost layer, etc., only refer to the directions of the attached drawings. Therefore, the directional terminology is used to illustrate and understand this disclosure, not to limit it.

In the figure, units with similar structures are indicated by the same reference numerals.

Please refer to FIG. 2, in conjunction with FIG. 1, a method for detecting high-frequency components in an image of a display device according to an embodiment of the present disclosure includes the following steps.

Step S1: Obtain the original grayscale value of the image pixels in the image to be processed of the display device. The image pixels include the image pixel 100 to be detected, a plurality of first image pixels 200, and a plurality of second image pixels 300.

The first image pixel 200 is located in the first layer around the image pixel 100 to be inspected and surrounds the image pixel 100 to be inspected, and the second image pixel 300 is located at the second layer around the image pixel 100 to be inspected and partially surrounds the first image pixel 100 .

When the to-be-detected image pixel 100 is located in the current row of image pixels, the first image pixel 200 is located in the upper and lower rows of the current row of image pixels, and the second image pixel 300 is located in the upper row and upper two rows of the current row of image pixels And the next row, and the second image pixel 300 is not located in the next two rows of the current row of image pixels.

Specifically, each image to be processed is composed of a plurality of image pixels, and each image pixel includes a first primary color component 11, a second primary color component 12, and a third primary color component 13, and the original grayscale value of the image pixel includes the first primary color The original grayscale values of the component 11, the second primary color component 12, and the third primary color component 13, by providing each primary color component of each image pixel with a grayscale value required for display, to control the brightness of the primary color component, and The primary color component is displayed in a corresponding color, thereby realizing the display of an image. Specifically, the first primary color component 11, the second primary color component 12, and the third primary color component 13 are a red component, a green component, and a blue component, respectively.

It can be understood that, in other embodiments of the present disclosure, each image pixel may further include a fourth primary color component. The fourth primary color component is, for example, a white component.

Further, as shown in FIG. 1, the image pixels 100 to be detected, the first image pixels 200 and the second image pixels 300 are arranged in 4 rows and 5 columns. The image pixel 100 to be detected is located in the center, that is, the third row and the third column, and a plurality of first image pixels 200 surround the image pixel 100 to be detected, respectively located in the second row, second column, second row, third column, and second row second There are 8 columns in 4 columns, 3 rows and 2 columns, 3 rows and 4 columns, 4 rows and 2 columns, 4 rows and 3 columns, and 4 rows and 4 columns. A plurality of second image pixels 300 partially surround the image pixel 100 to be detected and the first image pixel 200, respectively located in the first row and first column, the first row and second column, the first row and third column, the first row and fourth column , Row 1, column 5, row 2, column 1, row 2, column 5, row 3, column 1, row 3, column 5, row 4, column 1, and row 4, column 5 11. Since the second image pixel 300 of this embodiment is not located in the fifth row and first column, the fifth row and second column, the fifth row and third column, the fifth row and fourth column, the fifth row and fifth column, the detection range It can be reduced from 5 lines of image pixels to 4 lines of image pixels, which can optimize the detection process of high frequency components in the image and improve the display quality.

Step S2: Calculate a first grayscale difference value, where the first grayscale difference value is the maximum value of the difference between the original grayscale value of the image pixel 100 to be detected and the original grayscale value of the first image pixel 200.

Specifically, the difference between the original grayscale value of the image pixel 100 to be detected and the original grayscale value of the first image pixel 200 is: the original grayscale value of the first primary color component in the image pixel 100 to be detected and the first image pixel 200 The difference between the original grayscale value of the first primary color component in the medium, the original grayscale value of the second primary color component in the image pixel 100 to be detected, and the original grayscale value of the second primary color component in the first image pixel 200 The difference is the largest of the differences between the original grayscale value of the third primary color component in the image pixel 100 to be detected and the original grayscale value of the third primary color component in the first image pixel 200. It should be understood that the above differences are absolute differences, and there is no negative value.

For example, taking the arrangement of the image pixels 100 to be detected, the first image pixels 200 and the second image pixels 300 arranged in 4 rows and 5 columns as an example, the calculation process in step S2 is as follows:

Fl = Max (| R1-R0 |, | Bl-B0 |, | Gl-G0 |);

F2 = Max (| R2-R0 |, | B2-B0 |, | G2-G0 |);

F3 = Max (| R3-R0 |, | B3-B0 |, | G3-G0 |);

F4 = Max (| R4-R0 |, | B4-B0 |, | G4-G0 |);

F5 = Max (| R5-R0 |, | B5-B0 |, | G5-G0 |);

F6 = Max (| R6-R0 |, | B6-B0 |, | G6-G0 |);

F7 = Max (| R7-R0 |, | B7-B0 |, | G7-G0 |);

F8 = Max (| R8-R0 |, | B8-B0 |, | G8-G0 |);

FA1 = Max (FI, F2, F3, F4, F5, F6, F7, F8)

Among them, R0, G0, and B0 represent the original grayscale values of the first primary color component 11, the second primary color component 12, and the third primary color component 13 in the image pixel 100 to be detected, and R1 to R8 respectively represent the eight first image pixels 200. The original grayscale values of the first primary color components 11 of G1 to G8 represent the original grayscale values of the second primary color components 12 of the eight first image pixels 200, and B1 to B8 represent the first grayscale values of the eight first image pixels 200, respectively The original grayscale values of the three primary color components 13, F1 to F8 respectively represent the difference between the original grayscale values of the eight first image pixels 200 and the image pixel 100 to be detected, and FA1 is the first grayscale difference.

Step S3: Calculate a second grayscale difference value, where the second grayscale difference value is the maximum value of the difference between the original grayscale value of the image pixel 100 to be detected and the original grayscale value of the second image pixel 300.

Specifically, the difference between the original grayscale value of the image pixel 100 to be detected and the original grayscale value of the second image pixel 300 is: the original grayscale value of the first primary color component in the image pixel 100 to be detected and the second image pixel 300 The difference between the original grayscale value of the first primary color component in the middle, the original grayscale value of the second primary color component in the image pixel 100 to be detected, and the original grayscale value of the second primary color component in the second image pixel 300 The largest difference between the difference value and the original grayscale value of the third primary color component in the image pixel 100 to be detected and the original grayscale value of the third primary color component in the second image pixel 300. It should be understood that the above differences are absolute differences, and there is no negative value.

For example, taking the arrangement of the image pixels 100, the first image pixels 200, and the second image pixels 300 to be detected in 4 rows and 5 columns as an example, the calculation process in step S3 is as follows:

F9 = Max (| R9-R0 |, | B9-B0 |, | G9-G0 |);

F10 = Max (| R10-R0 |, | B10-B0 |, | G10-G0 |);

F11 = Max (| R11-R0 |, | B11-B0 |, | G11-G0 |);

F12 = Max (| R12-R0 |, | B12-B0 |, | G12-G0 |);

F13 = Max (| R13-R0 |, | B13-B0 |, | G13-G0 |);

F14 = Max (| R14-R0 |, | B14-B0 |, | G14-G0 |);

F15 = Max (| R15-R0 |, | B15-B0 |, | G15-G0 |);

F16 = Max (| R16-R0 |, | B16-B0 |, | G16-G0 |);

F17 = Max (| R17-R0 |, | B17-B0 |, | G17-G0 |);

F18 = Max (| R18-R0 |, | B18-B0 |, | G18-G0 |);

F19 = Max (| R19-R0 |, | B19-B0 |, | G19-G0 |);

FA2 = Max (F9, F10, F11, F12, F13, F14, F15, F16, F17, F18, F19)

Among them, R0, G0, and B0 respectively represent the original grayscale values of the first primary color component 11, the second primary color component 12, and the third primary color component 13 in the image pixel 100 to be detected, and R9 to R19 respectively represent 11 second image pixels The original grayscale value of the first primary color component 11 of 300, G9 to G19 respectively represent the original grayscale value of the second primary color component 12 of the 11 second image pixels 300, and B9 to B19 respectively represent the 11 second image pixels 300 The original grayscale values of the third primary color component 13 of F9 to F19 respectively represent the difference between the original grayscale values of the 11 second image pixels 300 and the image pixel 100 to be detected, and FA2 is the second grayscale difference.

Specifically, the target grayscale difference algorithm in step S4 is: F = axFAl + bxFA2, where F is the target grayscale difference, FA1 is the first grayscale difference, FA2 is the second grayscale difference, and a is The first weight value is preset, and b is the second weight value. By adjusting the specific size of a and b, the target gray scale difference can be changed.

Step S5: Compare the target grayscale difference with the preset grayscale threshold, if the target grayscale difference is greater than the preset grayscale threshold, the image pixel 100 to be detected is determined to be a high-frequency image pixel, otherwise the image pixel to be detected is determined 100 is a low-frequency image pixel.

Specifically, in a display panel of a display device that does not use a color shift compensation algorithm for color shift compensation, each primary color component in each image pixel controls one sub-pixel in the display panel to implement display, that is, one image pixel includes three Each sub-pixel corresponds to a primary color component.

In a display panel of a display device that uses a color shift compensation algorithm to perform color shift compensation, each primary color component in each image pixel controls two sub-pixels in the display panel to achieve display, that is, an image pixel includes six sub-pixels. Every two sub-pixels correspond to a primary color component.

At this time, when the image pixel 100 to be detected is a high-frequency image pixel, in order to reduce the graininess caused by the color shift compensation, in an embodiment of the present disclosure, the method further includes step S6, adjusting the algorithm according to a preset And the target grayscale difference adjust the actual grayscale value of the high-frequency image pixels, and reduce the absolute difference between the actual grayscale value of the high-frequency image pixels and the original grayscale value of the high-frequency image pixels. The actual grayscale value is the grayscale value obtained after the original grayscale value of the high-frequency image pixel is subjected to color shift compensation.

Specifically, the process of color shift compensation is to first obtain the original grayscale value of each primary color component in the high-frequency image pixel, and convert the original grayscale into the first display grayscale value and the second display grayscale value according to the color shift compensation algorithm The first display gray scale value and the second display gray scale value of each primary color component respectively control the display brightness of the two sub-pixels corresponding to the primary color component, so that the two sub-pixels achieve bright and dark display to achieve the purpose of color shift compensation. The first display grayscale value and the second display grayscale value are the actual grayscale values, and the reduction between the difference between the actual grayscale value of the high-frequency image pixels and the original grayscale value is the reduction of the high-frequency image The difference between the brightness and darkness of the two sub-pixels corresponding to each primary color component in the pixel, thereby reducing the graininess caused by the color shift compensation.

Specifically, the preset adjustment algorithm in step S6 is: L '= (L-Lo) xC + L0, where L' is the actual grayscale value after adjustment by the preset adjustment algorithm, and L0 is the original grayscale of high-frequency image pixels Value, L is the actual grayscale value of the high-frequency image pixels before the adjustment by the preset adjustment algorithm, C is the preset adjustment coefficient, the value range of the preset adjustment coefficient is 0 ~ 1, the preset adjustment coefficient follows the target gray The level difference increases and decreases. That is to say, when the target gray scale difference value is larger, the amplitude of the bright and dark display of the high-frequency image pixel after the color shift compensation process is smaller, so that the display failure caused by the color shift compensation can be reduced.

Please refer to FIG. 3, an embodiment of the present disclosure further provides a device for detecting high-frequency components in the image of the display device 1. The device includes an acquisition unit 10, a first calculation unit 20 connected to the acquisition unit 10, a second calculation unit 30 connected to the first calculation unit 20, and a judgment unit 40 connected to the second calculation unit 30.

The obtaining unit 10 is used to obtain the original grayscale value of the image pixels in the image to be processed of the display device 1. The image pixels include an image pixel 100 to be detected, a plurality of first image pixels 200, and a plurality of second image pixels 300.

The first calculation unit 20 is used to calculate a first grayscale difference value and a second grayscale difference value. The first grayscale difference value is the maximum value of the difference between the original grayscale value of the image pixel 100 to be detected and the original grayscale value of the first image pixel 200, and the second grayscale difference value is the original grayscale of the image pixel 200 to be detected The maximum value of the difference between the level value and the original gray level value of the second image pixel 200.

For example, taking the arrangement of the image pixels 100 to be detected, the first image pixels 200 and the second image pixels 300 arranged in 4 rows and 5 columns as an example, the calculation process of the first calculation unit 20 is as follows:

Fl = Max (| R1-R0 |, | Bl-B0 |, | Gl-G0 |);

F2 = Max (| R2-R0 |, | B2-B0 |, | G2-G0 |);

F3 = Max (| R3-R0 |, | B3-B0 |, | G3-G0 |);

F4 = Max (| R4-R0 |, | B4-B0 |, | G4-G0 |);

F5 = Max (| R5-R0 |, | B5-B0 |, | G5-G0 |);

F6 = Max (| R6-R0 |, | B6-B0 |, | G6-G0 |);

F7 = Max (| R7-R0 |, | B7-B0 |, | G7-G0 |);

F8 = Max (| R8-R0 |, | B8-B0 |, | G8-G0 |);

FA1 = Max (FI, F2, F3, F4, F5, F6, F7, F8)

Among them, R0, G0, and B0 represent the original grayscale values of the first primary color component 11, the second primary color component 12, and the third primary color component 13 in the image pixel 100 to be detected, and R1 to R8 respectively represent the eight first image pixels 200 The original grayscale values of the first primary color components 11 of G1 to G8 represent the original grayscale values of the second primary color components 12 of the eight first image pixels 200, and B1 to B8 represent the first grayscale values of the eight first image pixels 200, respectively The original grayscale values of the three primary color components 13, F1 to F8 respectively represent the difference between the original grayscale values of the eight first image pixels 200 and the image pixel 100 to be detected, and FA1 is the first grayscale difference.

For example, taking the arrangement of the image pixels 100, the first image pixels 200, and the second image pixels 300 to be detected in 4 rows and 5 columns as an example, the calculation process of the first calculation unit 20 is as follows:

F9 = Max (| R9-R0 |, | B9-B0 |, | G9-G0 |);

F10 = Max (| R10-R0 |, | B10-B0 |, | G10-G0 |);

F11 = Max (| R11-R0 |, | B11-B0 |, | G11-G0 |);

F12 = Max (| R12-R0 |, | B12-B0 |, | G12-G0 |);

F13 = Max (| R13-R0 |, | B13-B0 |, | G13-G0 |);

F14 = Max (| R14-R0 |, | B14-B0 |, | G14-G0 |);

F15 = Max (| R15-R0 |, | B15-B0 |, | G15-G0 |);

F16 = Max (| R16-R0 |, | B16-B0 |, | G16-G0 |);

F17 = Max (| R17-R0 |, | B17-B0 |, | G17-G0 |);

F18 = Max (| R18-R0 |, | B18-B0 |, | G18-G0 |);

F19 = Max (| R19-R0 |, | B19-B0 |, | G19-G0 |);

FA2 = Max (F9, F10, F11, F12, F13, F14, F15, F16, F17, F18, F19)

The second calculation unit 30 calculates the target gray scale difference value according to the target gray scale difference algorithm, the first gray scale difference value and the second gray scale difference value.

Specifically, the target grayscale difference algorithm is: F = axFAl + bxFA2, where F is the target grayscale difference, FA1 is the first grayscale difference, FA2 is the second grayscale difference, and a is the preset A weight value, b is a preset second weight value. By adjusting the specific size of a and b, the target gray scale difference can be changed.

The judging unit 40 is used to compare the target grayscale difference value with the preset grayscale threshold value. If the target grayscale difference value is greater than the preset grayscale threshold value, the judging unit 40 determines that the image pixel 100 to be detected is a high frequency image pixel, otherwise The determination unit 40 determines that the image pixel 100 to be detected is a low-frequency image pixel.

Specifically, in an embodiment, the device for detecting high-frequency components in the image of the display device 1 further includes an adjustment unit 50 connected to the determination unit 40. The adjusting unit 50 is used to adjust the actual grayscale value of the high-frequency image pixels according to the preset adjustment algorithm and the target grayscale difference, so as to reduce the difference between the actual grayscale value of the high-frequency image pixels and the original grayscale value of the high-frequency image pixels The absolute difference between. The actual grayscale value is the grayscale value obtained after the original grayscale value of the high-frequency image pixel is subjected to color shift compensation.

Specifically, the preset adjustment algorithm is: L '= (L-Lo) xC + L0, where L' is the actual grayscale value after adjustment by the preset adjustment algorithm, L0 is the original grayscale value of the high-frequency image pixel, L Is the actual grayscale value of the high-frequency image pixels before adjustment by the preset adjustment algorithm, C is the preset adjustment coefficient, the value range of the preset adjustment coefficient is 0 ~ 1, the preset adjustment coefficient varies with the target grayscale difference Increase and decrease. That is to say, when the target gray scale difference value is larger, the amplitude of the bright and dark display of the high-frequency image pixel after the color shift compensation process is smaller, so that the display failure caused by the color shift compensation can be reduced.

In summary, the embodiments of the present disclosure provide a method and device for detecting high-frequency components in an image of a display device. This embodiment uses the maximum value of the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the first image pixel as the first grayscale difference value, and uses the original grayscale value of the image pixel to be detected and the second The maximum value of the difference between the original grayscale values of the image pixels is used as the second grayscale difference, and then the target grayscale difference is calculated according to the target grayscale difference algorithm, the first grayscale difference and the second grayscale difference Value, and then compare the target grayscale difference with a preset grayscale threshold to determine whether the image pixel to be detected is a high-frequency image pixel, and then adjust the actual grayscale value of the high-frequency image pixel to reduce the high-frequency image The difference between the actual grayscale value of the pixel and the original grayscale value can optimize the detection process of high-frequency components in the image and improve the display quality.

Although the present disclosure has been shown and described with respect to one or more implementations, those skilled in the art will think of equivalent variations and modifications based on reading and understanding of this specification and the drawings. This disclosure includes all such modifications and variations, and is limited only by the scope of the appended claims. With particular reference to the various functions performed by the above-mentioned components, the terminology used to describe such components is intended to correspond to any component (unless otherwise indicated) that performs the specified function of the component (eg, it is functionally equivalent) Even if it is structurally different from the disclosed structure that performs the functions in the exemplary implementation of the present specification shown herein. Furthermore, although specific features of this specification have been disclosed with respect to only one of several implementations, such features may be combined with one or more other implementations as may be desirable and advantageous for a given or specific application Other feature combinations. Moreover, to the extent that the terms "including", "having", "containing" or variations thereof are used in specific embodiments or claims, such terms are intended to be included in a manner similar to the term "comprising".

The above are only the preferred embodiments of the present disclosure. It should be noted that those of ordinary skill in the art can make several improvements and retouching without departing from the principles of the present disclosure. These improvements and retouching should also be regarded as the present disclosure. protected range.

Claims

A method for detecting high-frequency components in an image of a display device, including:

Step S1, obtaining the original grayscale value of the image pixels in the image to be processed of the display device, the image pixels including the image pixels to be detected, a plurality of first image pixels and a plurality of second image pixels;

Step S2: Calculate a first grayscale difference value, where the first grayscale difference value is the maximum value of the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the first image pixel;

Step S3: Calculate a second grayscale difference value, where the second grayscale difference value is the maximum difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the second image pixel Value; and

Step S4: Calculate the target gray scale difference according to the target gray scale difference algorithm, the first gray scale difference and the second gray scale difference.
The method for detecting high-frequency components in an image of a display device according to claim 1, wherein the first image pixel is located at a first layer on the periphery of the image pixel to be detected and surrounds the image pixel to be detected, the The second image pixel is located in the second layer of the periphery of the image pixel to be detected and partially surrounds the first image pixel.
The method for detecting high-frequency components in an image of a display device according to claim 1, wherein when the image pixel to be detected is located in the current line of the image pixel, the first image pixel is located at the position of the image pixel The previous row and the next row of the current row, the second image pixel is located in the previous row, the previous two rows, and the next row of the current row of the image pixel, and the second image pixel is not located in the The next two rows of the current row of image pixels.
The method of detecting a high-frequency component in an image of a display device according to claim 1, further comprising: step S5, comparing the target grayscale difference with a preset grayscale threshold, if the target grayscale difference If it is greater than the preset grayscale threshold, the image pixel to be detected is determined to be a high-frequency image pixel, otherwise the image pixel to be detected is determined to be a low-frequency image pixel.
The method for detecting high-frequency components in an image of a display device according to claim 4, wherein when the image pixel to be detected is a high-frequency image pixel, the method further comprises: Step S6, adjusting the algorithm and The target grayscale difference adjusts the actual grayscale value of the high-frequency image pixel to reduce the absolute value between the actual grayscale value of the high-frequency image pixel and the original grayscale value of the high-frequency image pixel Difference; the actual grayscale value is a grayscale value obtained after the original grayscale value of the high-frequency image pixel is subjected to color shift compensation.
The method for detecting high-frequency components in an image of a display device according to claim 1, wherein the target grayscale difference algorithm in step S4 is: F = axFAl + bxFA2, where F is the target grayscale For the difference, FA1 is the first grayscale difference, FA2 is the second grayscale difference, a is a preset first weight value, and b is a preset second weight value.
The method for detecting high-frequency components in an image of a display device according to claim 1, wherein each image pixel in the step S1 includes a first primary color component, a second primary color component, and a third primary color component, and each image pixel The original grayscale values of each include the original grayscale value of the first primary color component, the original grayscale value of the second primary color component, and the original grayscale value of the third primary color component.
The method for detecting high-frequency components in an image of a display device according to claim 7, wherein the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the first image pixel Is: the difference between the original grayscale value of the first primary color component in the image pixel to be detected and the original grayscale value of the first primary color component in the first image pixel, A difference between the original grayscale value of the second primary color component in the image pixel to be detected and the original grayscale value of the second primary color component in the first image pixel and the to-be-detected The largest one of the differences between the original grayscale value of the third primary color component in the image pixel and the original grayscale value of the third primary color component in the first image pixel.
The method for detecting a high-frequency component in an image of a display device according to claim 8, wherein the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the second image pixel Is: the difference between the original grayscale value of the first primary color component in the image pixel to be detected and the original grayscale value of the first primary color component in the second image pixel, A difference between the original grayscale value of the second primary color component in the image pixel to be detected and the original grayscale value of the second primary color component in the second image pixel and the to-be-detected The largest one of the differences between the original grayscale value of the third primary color component in the image pixel and the original grayscale value of the third primary color component in the second image pixel.
The method for detecting high-frequency components in an image of a display device according to claim 5, wherein the preset adjustment algorithm in step S6 is: L '= (L-Lo) xC + L0, where L' is The actual grayscale value after adjustment by the preset adjustment algorithm, L0 is the original grayscale value of the high-frequency image pixel, and L is the value of the high-frequency image pixel before adjustment by the preset adjustment algorithm For the actual gray scale value, C is a preset adjustment coefficient, and the value range of the preset adjustment coefficient is 0 to 1, and the preset adjustment coefficient decreases as the target gray scale difference increases.
A device for detecting high-frequency components in the image of a display device, including:

Acquisition unit;

The first calculation unit, connected to the acquisition unit;

A second computing unit connected to the first computing unit; and

Judgment unit, connected to the second calculation unit;

Wherein the acquisition unit is used to acquire the original grayscale value of the image pixels in the image to be processed of the display device, the image pixels include the image pixels to be detected, a plurality of first image pixels and a plurality of second image pixels;

The first calculation unit is used to calculate a first grayscale difference value and a second grayscale difference value, the first grayscale difference value is the original grayscale value of the pixel to be detected and the first image The maximum value of the difference between the original grayscale values of the pixels, and the second grayscale difference value is the difference between the original grayscale value of the pixel to be detected and the original grayscale value of the second image pixel Maximum value; and

The second calculation unit is used to calculate the target gray scale difference value according to the target gray scale difference algorithm, the first gray scale difference value and the second gray scale difference value.
The device for detecting high-frequency components in an image of a display device according to claim 11, wherein the first image pixel is located at a first layer on the periphery of the image pixel to be detected and surrounds the image pixel to be detected, the The second image pixel is located in the second layer of the periphery of the image pixel to be detected and partially surrounds the first image pixel.
The device for detecting high-frequency components in an image of a display device according to claim 11, wherein when the image pixel to be detected is located in the current line of the image pixel, the first image pixel is located at the position of the image pixel The previous row and the next row of the current row, the second image pixel is located in the previous row, the previous two rows, and the next row of the current row of the image pixel, and the second image pixel is not located in the The next two rows of the current row of image pixels.
The device for detecting high-frequency components in an image of a display device according to claim 11, wherein the judgment unit is used to compare the target grayscale difference with a preset grayscale threshold, if the target grayscale difference If the value is greater than the preset grayscale threshold, the judgment unit determines that the image pixel to be detected is a high-frequency image pixel, otherwise the judgment unit determines that the image to-be-detected pixel is a low-frequency image pixel.
The device for detecting high-frequency components in an image of a display device according to claim 14, further comprising an adjustment unit connected to the determination unit, wherein the adjustment unit is used for adjusting the target gray scale according to a preset adjustment algorithm The difference value adjusts the actual grayscale value of the high-frequency image pixel to reduce the absolute difference between the actual grayscale value of the high-frequency image pixel and the original grayscale value of the high-frequency image pixel; The actual grayscale value is a grayscale value obtained after the original grayscale value of the high-frequency image pixel is subjected to color shift compensation.
The device for detecting high-frequency components in an image of a display device according to claim 11, wherein the target grayscale difference algorithm is: F = axFAl + bxFA2, where F is the target grayscale difference and FA1 is For the first gray scale difference value, FA2 is the second gray scale difference value, a is a preset first weight value, and b is a preset second weight value.
The device for detecting high-frequency components in an image of a display device according to claim 11, wherein each image pixel includes a first primary color component, a second primary color component, and a third primary color component, and the original grayscale value of each image pixel Both include the original grayscale value of the first primary color component, the original grayscale value of the second primary color component, and the original grayscale value of the third primary color component.
The device for detecting high-frequency components in an image of a display device according to claim 17, wherein the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the first image pixel Is: the difference between the original grayscale value of the first primary color component in the image pixel to be detected and the original grayscale value of the first primary color component in the first image pixel, A difference between the original grayscale value of the second primary color component in the image pixel to be detected and the original grayscale value of the second primary color component in the first image pixel and the to-be-detected The largest one of the differences between the original grayscale value of the third primary color component in the image pixel and the original grayscale value of the third primary color component in the first image pixel.
The device for detecting high-frequency components in an image of a display device according to claim 18, wherein the difference between the original grayscale value of the image pixel to be detected and the original grayscale value of the second image pixel Is: the difference between the original grayscale value of the first primary color component in the image pixel to be detected and the original grayscale value of the first primary color component in the second image pixel, A difference between the original grayscale value of the second primary color component in the image pixel to be detected and the original grayscale value of the second primary color component in the second image pixel and the to-be-detected The largest one of the differences between the original grayscale value of the third primary color component in the image pixel and the original grayscale value of the third primary color component in the second image pixel.
The device for detecting high-frequency components in an image of a display device according to claim 15, wherein the preset adjustment algorithm is: L '= (L-Lo) xC + L0, where L' is the preset adjustment The actual grayscale value after the algorithm adjustment, L0 is the original grayscale value of the high-frequency image pixel, and L is the actual grayscale value of the high-frequency image pixel before adjustment by the preset adjustment algorithm, C is a preset adjustment coefficient, and the value range of the preset adjustment coefficient is 0 to 1, and the preset adjustment coefficient decreases as the target gray scale difference increases.