Method for determining similarity of adjacent rows in a picture and display device

1. A method for determining similarity of adjacent rows in a picture, comprising:

obtaining feature values of corresponding sub-pixels of each row of picture data in a frame of picture data;

subtracting feature values of corresponding sub-pixels of two adjacent rows of picture data in the frame of picture data, and summing absolute values of multiple differences obtained from the subtracting; and

determining similarity of the two adjacent rows of picture data in the frame of picture data according to a summed value obtained from the summing,

wherein a number of the multiple differences equates to a number of corresponding sub-pixels of a row of picture data, and

a summed value obtained from summing the absolute values of the multiple differences represents a total difference between the two rows of picture data.

2. The method according to claim 1 , wherein a feature value of a corresponding sub-pixel comprising any one of a gray values, chroma and brightness of the corresponding sub-pixel.

3. The method according to claim 1 , wherein a feature value of a corresponding sub-pixel is a gray value of the corresponding sub-pixel.

4. The method according to claim 3 , wherein “obtaining feature values of corresponding sub-pixels of each row of picture data in a frame of picture data” comprises:

calculating the gray values of the corresponding sub-pixels of each row of picture data in the frame of picture data to acquire the gray values of the corresponding sub-pixels of each row of picture data.

5. The method according to claim 3 , wherein “subtracting feature values of corresponding sub-pixels of two adjacent rows of picture data in the frame of picture data, and summing absolute values of multiple differences obtained from the subtracting” comprises:

subtracting gray values of corresponding sub-pixels of two adjacent rows of picture data in the frame of picture data to acquire multiple differences, a number of multiple differences equaling to a number of corresponding sub-pixels of a row of picture data in the frame of picture data; and

summing absolute values of the multiple differences.

6. The method according to claim 5 , wherein “determining similarity of the two adjacent rows of picture data in the frame of picture data according to a summed value obtained from the summing” comprises:

determining similarity of the two adjacent rows of picture data according to a formula Similar (n)=(1−(H_data(n)/(X*255))*100%,

wherein Similar(n) is similarity of row n and row n−1 of picture data in the frame of picture data, n=2, 3, . . . N, wherein N is a number of total rows in the frame of picture data, H_data(n) is a value obtained by summing absolute values of differences obtained from subtracting gray values of corresponding sub-pixels of row n and row n−1 of picture data, X is a number of sub-pixels of a row of picture data in the frame of picture data.

7. A method for determining similarity of adjacent rows in a picture, comprising:

obtaining feature values of corresponding sub-pixels of each row of picture data in a frame of picture data, a number of total rows in the frame of picture data being N;

subtracting feature values of corresponding sub-pixels of row n and row n−1 of picture data in the frame of picture data, and summing absolute values of multiple differences obtained from the subtracting;

determining similarity of the row n and row n−1 of picture data in the frame of picture data according to a summed value obtained from the summing; and

judging whether n equates to N, in determining that n equates to N, ending processing, in determining that n is not equal to N, increasing n by 1 that is n=n+1 and returning to “subtracting feature values of corresponding sub-pixels of row n and row n−1 of picture data in the frame of picture data, and summing absolute values of multiple differences obtained from the subtracting”;

wherein an initial value of n is 2.

8. The method according to claim 7 , wherein a feature value of a corresponding sub-pixel comprising any one of gray values, chroma and brightness of the corresponding sub-pixel.

9. The method according to claim 7 , wherein a feature value of a corresponding sub-pixel is a gray value of the corresponding sub-pixel.

10. The method according to claim 9 , wherein “obtaining feature values of corresponding sub-pixels of each row of picture data in a frame of picture data” comprises:

calculating gray values of corresponding sub-pixels of each row of picture data in the frame of picture data to acquire gray values of corresponding sub-pixels of each row of picture data.

11. The method according to claim 10 , wherein the subtracting feature values of corresponding sub-pixels of row n and row n−1 of picture data in the frame of picture data, and summing absolute values of multiple differences obtained from the subtracting, comprising:

subtracting gray values of corresponding sub-pixels of row n and row n−1 of picture data in the frame of picture data to acquire multiple differences, a number of multiple differences equaling to a number of corresponding sub-pixels of a row of picture data in the frame of picture data;

summing absolute values of multiple differences; and

storing the summed value H_data(n) obtained from the summing in register H_data.

12. The method according to claim 11 , wherein the determining similarity of the row n and row n−1 of picture data in the frame of picture data according to a summed value obtained from the summing, comprising:

determining similarity of the row n and row n−1 of picture data according to a formula Similar (n)=(1−(H_data(n)/(X*255))*100%, wherein X is a number of a row of picture data in the frame of picture data.

13. The method according to claim 12 , wherein “determining similarity of the row n and row n−1 of picture data in the frame of picture data according to a summed value obtained from the summing”, further comprises:

Storing a determined Similar(n) of the row n and row n−1 of picture data in register similarity.

14. The method according to claim 13 , wherein the determining similarity of the row n and row n−1 of picture data in the frame of picture data according to a summed value obtained from the summing, further comprising:

storing the Similar(n) in register count when a value of the Similar(n) is 100%.

15. A display device, comprising an apparatus for determining similarity of adjacent rows in a picture, the apparatus comprising: a processor and a memory, and the processor configured to execute a computer program stored in the memory to implement the following steps:

obtaining feature values of corresponding sub-pixels of each row of picture data in a frame of picture data;

subtracting feature values of corresponding sub-pixels of two adjacent rows of picture data in the frame of picture data, and summing absolute values of multiple differences obtained from the subtracting; and

determining similarity of the two adjacent rows of picture data in the frame of picture data according to a summed value obtained from the summing.

16. The display device according to claim 15 , wherein a feature value of a corresponding sub-pixel comprising any one of a gray value, chroma and brightness of the corresponding sub-pixel.

17. The display device according to claim 15 , wherein a feature value of a corresponding sub-pixel is a gray value of the corresponding sub-pixel, “obtaining feature values of corresponding sub-pixels of a row of picture data in a frame of picture data”, comprises:

calculating gray values of the corresponding sub-pixels of each row of picture data in the frame of picture data to acquire the gray values of the corresponding sub-pixels of each row of picture data.

18. The display device according to claim 17 , wherein “subtracting feature values of corresponding sub-pixels of two adjacent rows of picture data in the frame of picture data, and summing absolute values of multiple differences obtained from the subtracting” comprises:

subtracting gray values of corresponding sub-pixels of two adjacent rows of picture data in the frame of picture data to acquire multiple differences, a number of multiple differences equaling to a number of corresponding sub-pixels of a row of picture data in the frame of picture data; and

summing absolute values of multiple differences.

19. The display device according to claim 18 , wherein the determining similarity of the row n and row n−1 of picture data in the frame of picture data according to a summed value obtained from the summing, comprising:

determining similarity of the two adjacent rows of picture data according to a formula Similar (n)=(1−(H_data(n)/(X*255))*100%,

wherein Similar(n) is similarity of row n and row n−1 of picture data in the frame of picture data, n=2, 3, . . . N, wherein N is number of total rows in the frame of picture data, H data(n) is a value obtained by summing absolute values of differences obtained from subtracting gray values of corresponding sub-pixels of row n and row n−1 of picture data, X is a number of sub-pixels of a row of picture data in a frame of picture data.

20. The display device according to claim 15 , wherein comprising liquid crystal displays or organic light-emitting diode (OLED) displays.