Display driving method and device, and display device

Patent metadata

Field	Value
Publication number	US-2023410715-A1
Application number	US-202217800237-A
Country	US
Kind code	A1
Filing date	Jun 30, 2022
Priority date	Jun 15, 2022
Publication date	Dec 21, 2023
Grant date	—

Abstract

The present application discloses a display driving method and device, and a display device. by obtaining Gaussian probability of a preset scene in a to-be-displayed image with respect to a preset color, comparing the Gaussian probability with a predetermined threshold, and setting the polarities of sub-pixels, the driving method of the present application reduces the risk of crosstalk caused by the fact that the voltage drops of the coupling capacitance on the adjacent data lines cannot be canceled each other out.

First claim

1 . A display driving method for a display device, the display device comprising:
a plurality of sub-pixels arranged in an array; a plurality of data lines, each column of the sub-pixels corresponding to and connecting to one data line, and adjacent data lines having one column of the sub-pixels disposed therebetween; and a plurality of grayscale pixel groups, each of the grayscale pixel groups comprising sub-pixels 10 of a 2N×3M matrix, where N and M are positive integers, the display driving method comprising the following steps: obtaining a first to-be-processed chroma dataset and a second to-be-processed chroma dataset of a preset scene in a to-be-displayed image with respect to a preset color; obtaining Gaussian probability of the preset scene in the to-be-displayed image with respect to the preset color according to the first to-be-processed chroma dataset and the second to-be-processed chroma dataset; when the Gaussian probability is greater than or equal to a predetermined threshold, setting polarities of the sub-pixels in adjacent columns of each grayscale pixel group to be opposite to each other, setting the polarities of the sub-pixels adjacent to the grayscale pixel group in a row direction to be symmetrical to the polarities of the sub-pixels of the grayscale pixel group, and then displaying the to-be-displayed image; and when the Gaussian probability is less than the predetermined threshold, setting the polarities of the sub-pixels in adjacent columns to be opposite to each other, and then displaying the to-be-displayed image.

2 . The display driving method of claim 1 , wherein before the step of obtaining the Gaussian probability of the preset scene in the to-be-displayed image with respect to the preset color according to the first to-be-processed chroma dataset and the second to-be-processed chroma dataset, the method further comprises:
obtaining a first initial chroma dataset and a second initial chroma dataset of the preset scene in preprocessed images with respect to the preset color; and creating a Gaussian model for the preset color according to the first initial chroma dataset and the second initial chroma dataset, wherein the step of obtaining the Gaussian probability of the preset scene in the to-be-displayed image with respect to the preset color according to the first to-be-processed chroma dataset and the second to-be-processed chroma dataset comprises: obtaining the Gaussian probability of the preset scene in the to-be-displayed image with respect to the preset color from the Gaussian model, according to the first to-be-processed chroma dataset and the second to-be-processed chroma dataset.

3 . The display driving method of claim 2 , wherein the step of obtaining the first initial chroma dataset and the second initial chroma dataset of the preset scene in the preprocessed images with respect to the preset color comprises:
obtaining a plurality of the preprocessed images containing the preset scene; and extracting color data of the preset scene in any of the preprocessed images with respect to the preset color to obtain the first initial chroma dataset and the second initial chroma dataset.

4 . The display driving method of claim 2 , wherein the step of creating the Gaussian model for the preset color according to the first initial chroma dataset and the second initial chroma dataset comprises:
obtaining mean values of the first initial chroma dataset and the second initial chroma dataset respectively; obtaining a covariance matrix of the first initial chroma dataset and the second initial chroma dataset, an inverse of the covariance matrix and a rank of the covariance matrix; and creating the Gaussian model according to the covariance matrix, the inverse of the covariance matrix and the rank of the covariance matrix.

5 . The display driving method of claim 2 , wherein the step of obtaining the Gaussian probability of the preset scene in the to-be-displayed image with respect to the preset color from the Gaussian model, according to the first to-be-processed chroma dataset and the second to-be-processed chroma dataset comprises:
determining whether the to-be-displayed image contains the preset scene; assigning a coefficient value for a correlation to the preset scene in the to-be-displayed image, according to the determination on whether the to-be-displayed image contains the preset scene; for any one of the preset colors of the preset scenes in the to-be-displayed image, obtaining an initial probability for the preset color from the Gaussian model according to the first to-be-processed chroma dataset and the second to-be-processed chroma dataset; obtaining the Gaussian probability of the preset scene in the to-be-displayed image with respect to the preset color according to the initial probability and the correlation coefficient.

6 . The display driving method of claim 5 , wherein there are multiple preset scenes and multiple preset colors,
wherein for any one of the preset scenes, the initial probability of the preset color of the preset scene is corrected using the correlation coefficient, wherein the Gaussian probability of the multiple preset colors of the multiple preset scenes in the to-be-displayed image is obtained by calculating a sum of the initial probabilities, corrected using the correlation coefficients, of the multiple preset colors of the multiple preset scenes in the to-be-displayed image.

7 . The display driving method of claim 1 , wherein the sub-pixels of adjacent rows of each grayscale pixel group comprises high-grayscale sub-pixels and low-grayscale sub-pixels.

8 . The display driving method of claim 7 , wherein the sub-pixels of each grayscale pixel group along a row direction are arranged in an alternate manner with high grayscale and low grayscale.

9 . The display driving method of claim 7 , wherein the sub-pixels of each grayscale pixel group along adjacent rows comprise first row-sub-pixels and second row-sub-pixels, and the first row-sub-pixels are low-grayscale sub-pixels, and the second row-sub-pixels are high-grayscale sub-pixels.

10 . The display driving method of claim 7 , wherein each grayscale pixel group comprises sub-pixels in a 2×6 matrix and an arrangement of the sub-pixels of each grayscale pixel group along a row direction is as flows: “high grayscale, low grayscale, high grayscale, low grayscale, high grayscale and low grayscale”.

11 . A display driving device for a display device, the display device comprising:
a plurality of sub-pixels arranged in an array; a plurality of data lines, each column of the sub-pixels corresponding to and connecting to one data line, and adjacent data lines having one column of the sub-pixels disposed therebetween; and a plurality of grayscale pixel groups, each of the grayscale pixel groups comprising sub-pixels 10 of a 2N×3M matrix, where N and M are positive integers, the display driving device comprising: a data obtaining module, configured to obtain a first to-be-processed chroma dataset and a second to-be-processed chroma dataset of a preset scene in a to-be-displayed image with respect to a preset color; a data processing module, configured to obtain Gaussian probability of the preset scene in the to-be-displayed image with respect to the preset color according to the first to-be-processed chroma dataset and the second to-be-processed chroma dataset; and a comparison driving module, configured to compare the Gaussian probability with a predetermined threshold, when the Gaussian probability is greater than or equal to the predetermined threshold, set polarities of the sub-pixels in adjacent columns of each grayscale pixel group to be opposite to each

Assignees

• Shenzhen China Star Optoelectronics Semiconductor Display Tech Co Ltd

Inventors

• He Jhenwei

Classifications

• G09G3/2074 Primary

  using sub-pixels · CPC title

• G09G2310/0254

  Control of polarity reversal in general, other than for liquid crystal displays · CPC title

• G09G2320/0666

  for control of colour parameters, e.g. colour temperature · CPC title

• G09G2320/0209

  Crosstalk reduction, i.e. to reduce direct or indirect influences of signals directed to a certain pixel of the displayed image on other pixels of said image, inclusive of influences affecting pixels in different frames or fields or sub-images which constitute a same image, e.g. left and right images of a stereoscopic display · CPC title

• G09G2360/16

  Calculation or use of calculated indices related to luminance levels in display data · CPC title