System and method for improving the quality of halftone video using an adaptive threshold

• US 8,330,770 B2
• Filed: 06/04/2010
• Issued: 12/11/2012
• Est. Priority Date: 06/05/2009
• Status: Expired due to Fees

• Current Assignee: Snaptrack Incorporated (Qualcomm, Inc.)
• Original Assignee: Qualcomm MEMS Technologies Incorporated (Qualcomm, Inc.)
• Inventors: Rehman, Hamood-Ur
• Primary Examiner(s): Nguyen, Hau
• Assistant Examiner(s): Cain, II, Leon T
• Application Number:
  US12/794,648
• Publication Number:
  US 20110032417A1
• Time in Patent Office: 921 Days
• Field of Search: 345/596, 345/89
• US Class Current: 345/596
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 5/50 using two or more images, e.g. averaging or subtraction

Abstract

A system and method for processing video data are disclosed. In one aspect, a method includes generating halftone data for a first video frame and generating halftone data for a second video frame. The method further includes, to reduce at least one visual artifact, selectively copying the halftone data for the first video frame into the halftone data for the second video frame, the selectively copying being based upon a comparison between an adaptive threshold and the change resulting due to the copying of the data, in the human visual system model-based perceptual error of the halftone data for the second video frame.

Claims

1. A method of processing video data, comprising:

generating halftone data for a first video frame;

generating halftone data for a second video frame; and

to reduce at least one visual artifact, selectively copying the halftone data for the first video frame into the halftone data for the second video frame, the selectively copying being based upon a comparison between an adaptive threshold and the change resulting due to the copying of the data, in a human visual system model-based perceptual error of the halftone data for the second video frame;

wherein the adaptive threshold is adapted in response to the selectively copying.

2. The method of claim 1, wherein selectively copying the generated halftone data further comprises:

generating output data for the first frame, the output data for the first frame equal to the halftone data for the first frame;

generating output data for the second frame, the output data for the second frame equal to the halftone data for the second frame; and

to reduce at least one visual artifact, selectively copying the output data for the first video frame into the output data for the second video frame, the selectively copying being based upon a comparison between an adaptive threshold and the change, resulting due to the copying of the data, in the human visual system model-based perceptual error of the output data for the second video frame.

3. The method of claim 2, wherein selectively copying the output data comprises selectively copying a value of a pixel in the output data for the first video frame into the corresponding location in the output data for the second video frame, the selectively copying being based upon a comparison between an adaptive threshold and the change, resulting due to this copying of the data, in the human visual system model-based perceptual error of the output data for the second video frame.

4. The method of claim 3, wherein the pixel in the output data for the second video frame is located at a location corresponding to the location of the pixel in the output data for the first video frame.

5. The method of claim 3, wherein selectively copying a value of a pixel in the output data for the first video frame comprises scanning each pixel in the output data for the second video frame and selectively copying the pixel in the output data for the first video frame into a pixel in the output data for the second video frame, the selectively copying being based upon a comparison between an adaptive threshold and the change, resulting due to this copying of the data, in the human visual system model-based perceptual error of the output data for the second video frame.

6. The method of claim 5, wherein scanning each pixel in the output data for the second video frame and selectively copying the pixel in the output data for the first video frame is repeated until the number of copying made during a previous round of scanning meets a predetermined criterion.

7. The method of claim 6, wherein scanning each pixel in the output data for the second video frame and selectively copying of the pixel in the output data for the first video frame is repeated until no copying is made during a previous round of scanning.

8. The method of claim 5, wherein the pixels in the output data for the second video frame are processed in a raster scan order starting from top to bottom and from left to right.

9. The method of claim 1, wherein the visual artifact comprises flicker.

10. The method of claim 1, wherein the video data comprises a time sequence of video frames comprising the first and second video frame.

11. The method of claim 1, wherein the first video frame immediately precedes the second video frame.

12. The method of claim 1, wherein the first video frame is the next frame after the second video frame.

13. The method of claim 1, wherein selectively copying the generated halftone data further comprises selectively copying the halftone data for the first video frame into the halftone data for the second video frame based upon a comparison between an adaptive threshold and the change, resulting due to the copying of the data, in the human visual system model-based perceptual error of the halftone data for the second video frame, the adaptive threshold varying in response to previous modification made to the generated halftone data for the second video frame.

14. An apparatus for processing video data, comprising:

a memory device having stored therein at least halftone data for a first and second video frame; and

a processor that is configured to communicate with said memory device and is configured to reduce at least one visual artifact by selectively copying the halftone data for the first video frame into the halftone data for the second video frame, the selectively copying being based upon a comparison between an adaptive threshold and the change, resulting due to this copying of the data, in a human visual system model-based perceptual error of the halftone data for the second video frame.

20. The apparatus of claim 14, wherein the video data comprises a time sequence of video frames comprising the first and second video frame.

15. An apparatus for processing video data, comprising:

means for generating halftone data for a first video frame;

means for generating halftone data for a second video frame; and

means for reducing at least one visual artifact by selectively copying the halftone data for the first video frame into the halftone data for the second video frame, the selectively copying being based upon a comparison between an adaptive threshold and the change, resulting due to the copying of the data, in a human visual system model-based perceptual error of the halftone data for the second video frame;

wherein the adaptive threshold is adapted in response to the selectively copying.

16. The apparatus of claim 15, wherein the means for generating halftone data for a first video frame comprises a processor.

17. The apparatus of claim 15, wherein the means for generating halftone data for a second video frame comprises a processor.

18. The apparatus of claim 15, wherein the reducing means comprises a processor.

19. The apparatus of claim 15, wherein the video data comprises a time sequence of video frames comprising the first and second video frame.