METHOD AND SYSTEM FOR SUBSTANTIALLY REMOVING DOT NOISE

• US 20140056536A1
• Filed: 08/27/2012
• Published: 02/27/2014
• Est. Priority Date: 08/27/2012
• Status: Abandoned Application

• Current Assignee: Toshiba Medical Systems Corporation (Canon Inc.), Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Original Assignee: Toshiba Medical Systems Corporation (Canon Inc.), Kabushiki Kaisha Toshiba (Toshiba Corporation)
• Inventors: ZAMYATIN, Alexander, DINU, Mihail Petru, YANG, Zhi
• Application Number:
  US13/595,631
• Publication Number:
  US 20140056536A1
• Time in Patent Office: Days
• US Class Current: 382/260
• CPC Class Codes: G06T 2207/10081 Computed x-ray tomography [CT]
• CPC Class Codes: G06T 5/70 Denoising; Smoothing

Abstract

One technique performs noise removal substantially removing dot noise based upon pseudo-standard deviation (PSD). Another technique performs noise removal including the substantial removal of dot noise based upon Z-score with a punctured approach. The techniques are not limited to particular kernels and include both uniform and non-uniform kernels.

Claims

1. A method of reducing noise in image data representing pixels, comprising the steps of:

a) obtaining filtered data based upon the image data and a predetermined convolution kernel;

b) obtaining difference data between the image data and the filtered data;

c) determining squared difference data from the difference data; and

d) obtaining pseudo standard deviation data based on the squared difference data and the predetermined convolution kernel;

e) scaling the pseudo standard deviation data by a predetermined value; and

f) identifying pixels with noise in the image data by comparing the difference data and the scaled pseudo standard deviation data; and

g) correcting the image data at the identified pixels.

2. The method of reducing noise in image data representing pixels according to claim 1 wherein the steps a) through g) are repeated for each image in the image data.

3. The method of reducing noise in image data representing pixels according to claim 1 wherein the predetermined value is approximately between 2 and 3.

4. The method of reducing noise in image data representing pixels according to claim 1 wherein the image data is corrected by replacing the identified pixels with the filtered data.

5. The method of reducing noise in image data representing pixels according to claim 1 wherein the image data is corrected by replacing the identified pixels with order statistics values including median values.

6. The method of reducing noise in image data representing pixels according to claim 1 wherein the steps a) through g) are iteratively repeated.

7. The method of reducing noise in image data representing pixels according to claim 1 wherein the noise includes dot noise.

8. A method of reducing noise in image data having pixels, comprising the steps of:

a) obtaining a mean value for a reference pixel based upon neighboring pixels without using a reference pixel value;

b) obtaining one of a pseudo-standard deviation value and a standard deviation value for the reference pixel based upon the neighboring pixels without using the reference pixel value;

c) determining a Z-score value for the reference pixel based upon the mean value and one of the pseudo-standard deviation value and the standard deviation value;

d) comparing the Z-score value against a predetermined Z-score threshold value to detect noise; and

e) correcting the reference pixel value if the noise is detected.

9. The method of reducing noise in image data having pixels according to claim 8 wherein the predetermined Z-score threshold value is approximately between 2 and 3.

10. The method of reducing noise in image data having pixels according to claim 8 wherein the steps a) through e) are repeated for each of the pixels.

11. The method of reducing noise in image data having pixels according to claim 10 wherein the steps a) through e) are iteratively repeated.

12. The method of reducing noise in image data having pixels according to claim 8 wherein the reference pixel value is corrected by replacing the reference pixel value with the mean value.

13. The method of reducing noise in image data having pixels according to claim 8 wherein the reference pixel value is corrected by replacing the reference pixel value with an order statistics value including a median value.

14. The method of reducing noise in image data having pixels according to claim 8 wherein the neighboring pixels are adaptively selected.

15. The method of reducing noise in image data having pixels according to claim 8 wherein the neighboring pixels are predetermined.

16. The method of reducing noise in image data having pixels according to claim 8 wherein the noise includes dot noise.

17. A system for reducing noise in image data representing pixels, comprising:

a kernel unit having a predetermined convolution kernel;

a processing unit connected to said kernel unit for obtaining filtered data based upon the image data and the predetermined convolution kernel in said kernel unit, said processing unit obtaining difference data between the image data and the filtered data, said processing unit determining squared difference data from the difference data; and

said processing unit obtaining pseudo standard deviation data based on the squared difference data and the predetermined convolution kernel, said processing unit scaling the pseudo standard deviation data by a predetermined scaling factor, said processing unit identifying pixels with noise in the image data by comparing the difference data and the scaled pseudo standard deviation data; and

a correction unit connected to said processing unit for correcting the image data at the identified pixels.

18. The system for reducing noise in image data representing pixels according to claim 17 wherein said processing unit and said correction unit repeatedly perform on each image in the image data.

19. The system for reducing noise in image data representing pixels according to claim 17 wherein the predetermined scaling factor is approximately between 2 and 3.

20. The system for reducing noise in image data representing pixels according to claim 17 wherein said correction unit corrects the image data by replacing the identified pixels with the filtered data.

21. The system for reducing noise in image data representing pixels according to claim 17 wherein said correction unit corrects the image data by replacing the identified pixels with order statistics values including median values.

22. The system for reducing noise in image data representing pixels according to claim 17 wherein said processing unit and said correction unit iterate.

23. The system for reducing noise in image data representing pixels according to claim 17 wherein the noise includes dot noise.

24. A system for reducing noise in image data having pixels, comprising:

a processing unit obtaining a mean value for a reference pixel based upon neighboring pixels without using a reference pixel value, said processing unit obtaining a standard deviation value for the reference pixel based upon the neighboring pixels without using the reference pixel value, said processing unit determining a Z-score value for the reference pixel based upon the mean value and the standard deviation value, said processing unit comparing the Z-score value against a predetermined Z-score threshold value to detect noise; and

a correction unit connected to said processing unit for correcting the reference pixel value if the noise is detected.

25. The system for reducing noise in image data having pixels according to claim 24 wherein the predetermined Z-score threshold value is approximately between 2 and 3.

26. The system for reducing noise in image data having pixels according to claim 24 wherein said processing unit and said correction unit repeat processing for each of the pixels.

27. The system for reducing noise in image data having pixels according to claim 26 wherein said processing unit and said correction unit iterate.

28. The system for reducing noise in image data having pixels according to claim 24 wherein said correction unit corrects the reference pixel value by replacing the reference pixel value with the mean value.

29. The system for reducing noise in image data having pixels according to claim 24 wherein said correction unit corrects the reference pixel value by replacing the reference pixel value with an order statistics value including a median value.

30. The system for reducing noise in image data having pixels according to claim 24 wherein said processing unit adaptively selects the neighboring pixels.

31. The system for reducing noise in image data having pixels according to claim 24 wherein the neighboring pixels are predetermined.

32. The system for reducing noise in image data having pixels according to claim 24 wherein the noise includes dot noise.