METHOD AND SYSTEM FOR ADAPTIVE NOISE REDUCTION FILTERING

• US 20100238354A1
• Filed: 03/18/2009
• Published: 09/23/2010
• Est. Priority Date: 03/18/2009
• Status: Abandoned Application

• Current Assignee: Nice Systems Limited (Nice Ltd)
• Original Assignee: Nice Systems Limited (Nice Ltd)
• Inventors: Dvir, Igal, Shoham, Efraim, Yeredor, Arie, Hoshen, Amotz, SHMUELI, Yaron
• Application Number:
  US12/406,617
• Publication Number:
  US 20100238354A1
• Time in Patent Office: Days
• US Class Current: 348/607
• CPC Class Codes: G06T 2207/10016 Video; Image sequence
• CPC Class Codes: G06T 2207/20182 Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
• CPC Class Codes: G06T 5/20 using local operators
• CPC Class Codes: G06T 5/50 using two or more images, e.g. averaging or subtraction
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: H04N 19/117 Filters, e.g. for pre-processing or post-processing sub-band filter banks H04N19/635
• CPC Class Codes: H04N 19/137 Motion inside a coding unit, e.g. average field, frame or block difference
• CPC Class Codes: H04N 19/142 Detection of scene cut or scene change
• CPC Class Codes: H04N 19/17 the unit being an image region, e.g. an object
• CPC Class Codes: H04N 19/172 the region being a picture, frame or field
• CPC Class Codes: H04N 19/61 in combination with predictive coding
• CPC Class Codes: H04N 19/80 Details of filtering operations specially adapted for video compression, e.g. for pixel interpolation H04N19/635, H04N19/86 take precedence
• CPC Class Codes: H04N 19/85 using pre-processing or post-processing specially adapted for video compression

Abstract

Embodiments of the invention are directed to a system and method for noise filtering in a video signal. The method includes dividing at least a portion of a frame into pixel groups and identifying a group as a first-type pixel group, possibly relating to a large change such as motion or light, if a difference parameter relating to the difference between the pixel group and a respective pixel group in a previous frame is larger than a threshold. The method further includes, identifying one or more of the first-type pixel groups as isolated pixel groups, if all the neighbors of the group are pixel groups with a difference parameter smaller than the threshold. The isolated pixel groups are redefined as pixel groups containing noise. The method further includes adapting the threshold based on the number of isolated pixel groups identified.

Claims

1. A method for image processing comprising:

dividing at least a portion of a frame of a video signal containing image data into pixel groups;

identifying one or more of the pixel groups as a first-type pixel group if a difference parameter relating to the difference between the pixel group and a respective pixel group in a previous frame is larger than a threshold having a first threshold value;

identifying one or more first-type pixel groups as an isolated pixel group having as neighbors only pixel groups with a difference parameter smaller than the first value of the threshold;

adapting the threshold by changing the first threshold value with a second threshold value based on the number of isolated pixel groups identified; and

performing noise reduction filtering on the frame, filtering noise from the isolated pixel groups and from pixel groups with a difference parameter smaller than the first threshold value.

2. The method of claim 1 comprising:

re-defining the isolated pixel groups from the first-type pixel groups to pixel groups containing noise, prior to filtering the noise from the frame.

3. The method of claim 1, comprising:

identifying one of more pixel groups of at least a portion of a subsequent frame as first-type pixel groups using the second threshold value.

4. The method of claim 1, wherein identifying the first-type pixel groups comprises, for each of the pixel groups:

calculating parameters related to each pixel and corresponding parameters related to each pixel of a respective pixel group of the previous frame;

generating the difference parameter based on one or more of the parameters; and

comparing the difference parameter to the first threshold value.

5. The method of claim 1 comprising:

identifying one or more of the first-type pixel groups as non-isolated pixel groups having one or more neighboring pixel groups with a difference parameter larger than the first threshold value.

6. The method of claim 1 comprising:

performing convolution of a predetermined mask with the values of the pixels of each pixel group of the frame.

7. The method of claim 5, wherein adapting the threshold comprises:

calculating a ratio between the number of the isolated pixel groups and the number of the non-isolated pixel groups; and

increasing the threshold, if the ratio is above a predetermined maximum parameter.

8. The method of claim 1, wherein adapting the threshold comprising:

calculating a ratio between the number of the isolated pixel groups and the number of the non-isolated pixel groups; and

decreasing the threshold if the ratio is below a predetermined minimum parameter.

9. The method of claim 1, wherein performing noise reduction filtering comprises:

updating weighted changes of the frame in comparison to a previous filtered frame.

10. The method of claim 1, comprising:

identifying one or more of the pixel groups as a first-type pixel group if the difference between at least one pixel and a respective pixel in a previous frame is larger than the a pixel threshold value.

18. The system of claim 10, wherein the threshold generator is to reset the threshold to a predetermined value when a change in the characteristics of the video signal is detected.

11. An image processing system comprising:

one or more detectors to identify one or more pixel groups of at least a portion of a frame of a video signal containing image data as a first-type pixel groups if a difference parameter relating to the difference between the pixel group and a respective pixel group in a previous frame is larger than a threshold having a first threshold value;

an isolated pixel groups detector to identify one or more of the first-type pixel groups as isolated pixel groups having as neighbors only pixel groups with a difference parameter smaller than the threshold;

a threshold generator to adapt the threshold by changing a first threshold value with a second threshold value based on the number of the isolated pixel groups identified;

a filtering unit to filter noise from the isolated pixel groups and from pixel groups with a difference parameter smaller than the threshold.

12. The system of claim 11, comprising an isolated pixel groups filter to re-define the isolated pixel groups from the first-type pixel groups to pixel groups containing noise, prior to filtering the noise from the frame.

13. The system of claim 11, wherein the detectors calculate for each of the pixel groups, parameters related to pixels of a pixel group and corresponding parameters related to pixels of a respective pixel group of the previous frame, generate the difference parameter based on one or more of the parameters and compare the difference parameter to the threshold.

14. The system of claim 12, wherein the isolated pixel groups detector performs convolution of a predetermined mask with the values of the pixels of each pixel group of the frame.

15. The system of claim 11, wherein the threshold generator is to calculate a ratio between the number of the isolated pixel groups and the number of non-isolated pixel groups, wherein the non-isolated pixel groups are first-type pixel groups having one or more neighboring pixel groups with a difference parameter larger than the threshold.

16. The system of claim 15, wherein the threshold generator is to increase the threshold if the ratio is above a predetermined maximum parameter and to decrease the threshold if the ratio is below a predetermined minimum parameter.

17. The system of claim 11, wherein the filtering unit is to perform noise reduction filtering on the frame by updating weighted changes of at least a portion of the frame in comparison to a previous filtered frame.

19. An article comprising a computer-storage medium having stored thereon instructions that, when executed by a processing platform, result in:

dividing at least a portion of a frame of a video signal containing image data into pixel groups;

identifying one or more of the pixel groups as a first-type pixel groups if a difference parameter relating to the difference between the pixel group and a respective pixel group in a previous frame is larger than a threshold having a first threshold value;

identifying one or more of the first-type pixel groups as isolated pixel groups having as neighbors only pixel groups with a difference parameter smaller than the first threshold value;

adapting the threshold by changing the first threshold value to a second threshold value based on the number of the isolated pixel groups identified; and

performing noise reduction filtering on the frame, filtering noise from isolated pixel groups and from pixel groups with a difference parameter smaller than the first threshold value.

20. The article of claim 19, wherein the instructions when executed further result in:

identifying one of more pixel groups of at least a portion of a subsequent frame as first-type pixel groups using the second threshold value.