VIDEO PROCESSING SYSTEM PROVIDING IMAGE PATTERN DETECTION BASED UPON IMAGE TRANSITION BOUNDARIES AND RELATED METHODS

• US 20090195658A1
• Filed: 01/31/2008
• Published: 08/06/2009
• Est. Priority Date: 01/31/2008
• Status: Active Grant

• Current Assignee: HBC Solutions Incorporated (AEG Holdings, Inc.)
• Original Assignee: Harris Corporation (L3Harris Technologies, Inc.)
• Inventors: Deschamp, Joseph
• Granted Patent: US 8,633,987 B2
• Time in Patent Office: Days
• US Class Current: 348/184
• CPC Class Codes: H04N 17/04 for receivers

Abstract

A video processing system may include an input for receiving video data including video signal values for a corresponding plurality of image pixels and having an image pattern therein. The system may further include a processor coupled to the input for determining a series of video signal value differences for each pair of adjacent image pixels along at least one direction, detecting at least one image transition boundary based upon the series of video signal value differences, and detecting the image pattern based upon the at least one image transition boundary.

Claims

1. A video processing system comprising:

an input for receiving video data comprising video signal values for a corresponding plurality of image pixels and having an image pattern therein; and

a processor coupled to said input for

determining a series of video signal value differences for each pair of adjacent image pixels along at least one direction,

detecting at least one image transition boundary based upon the series of video signal value differences, and

detecting the image pattern based upon the at least one image transition boundary.

2. The video processing system of claim 1 wherein the image pattern is one from among a plurality of different image patterns;

and wherein said processor further generates an output identifying the image pattern from among the plurality thereof.

3. The video processing system of claim 1 wherein said processor determines the series of video signal value differences for each pair of adjacent image pixels along a horizontal image direction and a vertical image direction.

4. The video processing system of claim 1 wherein said processor determines the series of video signal value differences for each pair of directly adjacent image pixels along a horizontal image direction.

5. The video processing system of claim 1 wherein said processor determines the series of video signal value differences for each pair of directly adjacent image pixels along a vertical image direction.

6. The video processing system of claim 1 wherein the image pattern comprises a fixed image pattern over a plurality of image frames or fields;

and wherein said processor detects the fixed image pattern.

7. The video processing system of claim 1 wherein the image pattern comprises a color bar pattern;

and wherein said processor detects the color bar pattern.

8. The video processing system of claim 1 wherein the image pattern comprises at least one of a pillar box pattern, a letter box pattern, a flat field pattern, and a single color frame pattern;

and wherein said processor detects at least one of the pillar box pattern, the letter box pattern, the flat field pattern, and the single color frame pattern.

9. The video processing system of claim 1 wherein the video signal values comprise at least one of luminance and chrominance values.

10. The video processing system of claim 1 wherein said processor further determines whether the video data exceeds a blurriness threshold based upon the at least one image transition boundary.

11. The video processing system of claim 10 wherein said processor determines whether the video data exceeds the blurriness threshold based upon determining a magnitude of the at least one image transition boundary and comparing the magnitude to a blurriness threshold magnitude.

12. The video processing system of claim 1 further comprising a memory coupled to said input and said processor for storing the video data.

13. A video processing system comprising:

a memory for storing video data comprising video signal values for a corresponding plurality of image pixels and having an image pattern therein; and

a processor coupled to said memory for

determining a series of video signal value differences for each pair of adjacent image pixels along a horizontal image direction and a vertical image direction,

detecting at least one image transition boundary based upon the series of video signal value differences, and

detecting the image pattern based upon the at least one image transition boundary.

14. The video processing system of claim 13 wherein the image pattern is one from among a plurality of different image patterns;

and wherein said processor further generates an output identifying the image pattern from among the plurality thereof.

15. The video processing system of claim 13 wherein the image pattern comprises a fixed image pattern over a plurality of image frames or fields;

and wherein said processor detects the fixed image pattern.

16. The video processing system of claim 13 wherein the image pattern comprises a color bar pattern;

and wherein said processor detects the color bar pattern.

17. The video processing system of claim 13 wherein the image pattern comprises at least one of a pillar box pattern, a letter box pattern, a flat field pattern, and a single color frame pattern;

and wherein said processor detects at least one of the pillar box pattern, the letter box pattern, the flat field pattern, and the single color frame pattern.

18. The video processing system of claim 13 wherein said processor further determines whether the video data exceeds a blurriness threshold based upon the at least one image transition boundary.

19. A video processing method for video data comprising video signal values for a corresponding plurality of image pixels and having an image pattern therein, the method comprising:

determining a series of video signal value differences for each pair of adjacent image pixels along at least one direction;

detecting at least one image transition boundary based upon the series of video signal value differences; and

detecting the image pattern based upon the at least one image transition boundary.

20. The method of claim 19 wherein the image pattern is one from among a plurality of different image patterns;

and further comprising generating an output identifying the image pattern from among the plurality thereof.

21. The method of claim 19 wherein determining the series of video signal value differences comprises determining the series of video signal value differences for each pair of adjacent image pixels along a horizontal image direction and a vertical image direction.

22. The method of claim 19 wherein the image pattern comprises a fixed image pattern over a plurality of image frames or fields;

and wherein detecting the image pattern comprises detecting the fixed image pattern.

23. The method of claim 19 wherein the image pattern comprises a color bar pattern;

and wherein detecting the image pattern comprises detecting the color bar pattern.

24. The method of claim 19 wherein the video signal values comprise at least one of luminance and chrominance values,

25. The method of claim 19 further comprising determining whether the video data exceeds a blurriness threshold based upon the at least one image transition boundary.