Method and apparatus for image noise reduction

• US 20070133893A1
• Filed: 12/14/2005
• Published: 06/14/2007
• Est. Priority Date: 12/14/2005
• Status: Abandoned Application

• Current Assignee: Aptina Imaging Corporation (ON Semiconductor Corporation)
• Original Assignee: Micron Technology, Inc.
• Inventors: Jerdev, Dmitri
• Application Number:
  US11/302,120
• Publication Number:
  US 20070133893A1
• Time in Patent Office: Days
• US Class Current: 382/254
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 5/002 Denoising; Smoothing noise processing or correction adapted to be used in an image pickup device containing and electronic image sensor H04N23/81, H04N25/60 - H04N25/67
• CPC Class Codes: G06T 5/20 using local operators
• CPC Class Codes: G06T 5/70 Denoising; Smoothing
• CPC Class Codes: H04N 23/10 for generating image signals from different wavelengths
• CPC Class Codes: H04N 25/60 Noise processing, e.g. detecting, correcting, reducing or removing noise
• CPC Class Codes: H04N 25/68 applied to defects
• CPC Class Codes: H04N 25/683 by defect estimation performed on the scene signal, e.g. real time or on the fly detection

Abstract

A method and apparatus that allows for image denoising in an imaging device. The method and implementing apparatus selects a kernel, which includes neighboring pixel pairs for a identified pixel, determines average output signal values for pixel pairs in the correction kernel, determines the difference in the average values and the identified pixel'"'"'s value, compares the difference values to a threshold and incorporates selected average pixel pair values into the identified pixel'"'"'s value for pixel pairs having difference values equal to or less than or equal to the threshold value.

Claims

1. A method of denoising pixel values comprising the acts of:

selecting a set of neighboring pixels surrounding an identified pixel;

for each pair of pixels within said set, where pixels in each pair are on opposite sides of said identified pixel, determining an average value of the pixels of the pair;

for each pair of pixels, calculating the difference between said identified pixel value and said average value of the pixel pair;

for each pair of pixels, comparing the difference value to a predetermined threshold value; and

incorporating at least one average value into a denoised identified pixel value based on the comparison.

2. The method of claim 1, wherein said incorporating step further comprises:

for each difference value less than or equal to the threshold, adding the average value to the denoised identified pixel value; and

obtaining an average based on the number of average pair values added to the denoised identified pixel value.

3. The method of claim 1, wherein the act of selecting the set of pixels surrounding an identified pixel comprises selecting a pre-determined number of nearest pixels having the same color as the defective pixel.

4. The method of claim 3, wherein the pre-determined number of nearest pixels is eight.

5. The method of claim 1, wherein the method is implemented as a recursive method.

6. The method of claim 1, wherein the method is implemented as a non-recursive method.

7. The method of claim 1, wherein the method is implemented as a partially recursive method.

8. An imaging device comprising:

a pixel array comprising a plurality of pixels, each pixel outputting a signal representing an amount of light received; and

a pixel denoising circuit for denoising at least one identified pixel value by providing a value to replace said identified pixel value, said value being obtained by comparing values derived from average pixel pair values to a threshold, and averaging at least one average pixel pair values.

9. The imaging device of claim 8, wherein the denoising circuit stores the threshold value.

10. The imaging device of claim 8, wherein the set comprises four pixel pairs.

11. The imaging device of claim 8, wherein the denoising circuit calculates the average value for each pixel pair.

12. The imaging device of claim 11, wherein the denoising circuit calculates the difference between the calculated average value for each pair and the identified pixel value.

13. The imaging device of claim 12, wherein the denoising circuit compares each difference value to the threshold.

14. The imaging device of claim 13, wherein the denoising circuit calculates an average value for the identified pixel incorporating the pixel pairs having difference values less than or equal to the threshold value and the identified pixel value.

15. The imaging device of claim 8, wherein the value is calculated by averaging at least one average pixel pair value and said identified pixel value.

16. The imaging device of claim 15, wherein the identified pixel value is used more than once to calculate the value.

17. A processing system comprising:

a processor; and

an imaging device connected to the processor and comprising;

a pixel array comprising a plurality of pixels, each pixel outputting a signal representing an amount of light received; and

a pixel denoising circuit for denoising at least one identified pixel value by providing a value to replace said identified pixel value, said value being obtained by comparing values derived from average pixel pair values to a threshold, and averaging at least one average pixel pair value.

18. The processing system of claim 17, wherein the imaging device is a CMOS imager.

19. The processing system of claim 17, wherein the imaging device is a CCD imager.

20. The processing system of claim 17, wherein the value of a given pixel is a digitized representation of the amount of light received by that pixel.

21. The processing system of claim 17, wherein the denoising circuit calculates the average value for each pixel pair.

22. The processing system of claim 21, wherein the denoising circuit calculates the difference between the calculated average value for each pair and the identified pixel value.

23. The processing system of claim 22, wherein the denoising circuit compares each difference value to a threshold.

24. The processing system of claim 23, wherein the denoising circuit calculates an average value for the identified pixel incorporating the pixel pairs having difference values less than or equal to the threshold value and the identified pixel value.

25. The processing system of claim 17, wherein the value is calculated by averaging at least one average pixel pair value and said identified pixel value.

26. The processing system of claim 25, wherein the identified pixel value is used more than once to calculate the value.

27. A processor having an associated program, said program enabling said processor to denoise an image by carrying out the acts of:

selecting a set of neighboring pixels surrounding an identified pixel;

for each pair of pixels within said set, where pixels in each pair are on opposite sides of said identified pixel, determining an average value of the pixels of the pair;

for each pair of pixels, calculating the difference between said identified pixel value and said average value of the pixel pair;

for each pair of pixels, comparing the difference value to a predetermined threshold value; and

incorporating at least one average value into a denoised identified pixel value based on the comparison.

28. The method of claim 27, wherein said incorporating step further comprises:

for each difference value less than or equal to the threshold, adding the average value to the denoised identified pixel value; and

obtaining an average based on the number of average pair values added to the denoised identified pixel value.

29. The method of claim 27, wherein the act of selecting the set of pixels surrounding an identified pixel comprises selecting a pre-determined number of nearest pixels having the same color as the defective pixel.

30. The method of claim 29, wherein the pre-determined number of nearest pixels is eight.

31. The method of claim 27, wherein the method is implemented as a recursive method.

32. The method of claim 27, wherein the method is implemented as a non-recursive method.

33. The method of claim 27, wherein the method is implemented as a partially recursive method.

34. The method according to claim 28, further comprises incorporating the identified pixel value into said average calculation.

35. A carrier medium containing a program for operating a processor to denoise an image comprising the acts of:

selecting a set of neighboring pixels surrounding an identified pixel;

for each pair of pixels within said set, where pixels in each pair are on opposite sides of said identified pixel, determining an average value of the pixels of the pair;

for each pair of pixels, calculating the difference between said identified pixel value and said average value of the pixel pair;

for each pair of pixels, comparing the difference value to a predetermined threshold value; and

incorporating at least one average value into a denoised identified pixel value based on the comparison.

36. The medium of claim 35, wherein said incorporating step further comprises:

for each difference value less than or equal to the threshold, adding the average value to the denoised identified pixel value; and

obtaining an average based on the number of average pair values added to the identified pixel value.

37. The medium of claim 35, wherein the act of selecting the set of pixels surrounding an identified pixel comprises selecting a pre-determined number of nearest pixels having the same color as the defective pixel.

38. The medium of claim 37, wherein the pre-determined number of nearest pixels is eight.

39. The medium of claim 35, wherein the method is implemented as a recursive method.

40. The medium of claim 35, wherein the method is implemented as a non-recursive method.

41. The medium of claim 35, wherein the method is implemented as a partially recursive method.

42. The medium of claim 36, further comprises incorporating the identified pixel value into said average calculation.