Fixed pattern noise reduction

• US 9,854,138 B2
• Filed: 09/20/2012
• Issued: 12/26/2017
• Est. Priority Date: 09/20/2012
• Status: Expired due to Fees

• Current Assignee: Gyrus Acmi (Olympus Corporation)
• Original Assignee: Gyrus ACMI, Inc. (Olympus Corporation)
• Inventors: Zilberstein, Chaya, Skarbnik, Nikolay, Wolf, Stuart, Starodubsky, Natalie
• Primary Examiner(s): Mikeska, Neil
• Application Number:
  US13/623,123
• Publication Number:
  US 20140078348A1
• Time in Patent Office: 1,923 Days
• Field of Search: 348 65, 348 79, 348148, 348241, 348239, 342372, 37524025, 345419, 382103
• CPC Class Codes: H04N 25/63 applied to dark current
• CPC Class Codes: H04N 25/67 applied to fixed-pattern noise, e.g. non-uniformity of response
• CPC Class Codes: H04N 25/671 for non-uniformity detection or correction
• CPC Class Codes: H04N 25/672 between adjacent sensors or output registers for reading a single image

Abstract

A method, including receiving signals, from a rectangular array of sensor elements arranged in rows and columns, corresponding to an image captured by the array. The method also includes analyzing the signals along a row or a column to identify one or more local turning points, and processing the signals at the identified local turning points to recognize fixed pattern noise in the captured image. The method further includes correcting values of the signals from the sensor elements at the identified local turning points so as to reduce the fixed pattern noise in the image.

Claims

1. A method, comprising:

receiving signals, from a rectangular array of sensor elements arranged in rows and columns, corresponding to an image captured by the array;

analyzing the signals along a row or a column to identify one or more local turning points within the row or the column;

processing the signals at the identified local turning points to determine whether the signals at the local turning point meet a given condition;

calculating corrected values of the signals corresponding to the image captured by the array of sensor elements at the identified local turning points, by adding to the identified turning points meeting the given condition, a predetermined value which reduces the amplitude if the turning point is a maximum and which increases the amplitude if the turning point is a minimum, so as to reduce the fixed pattern noise in the image; and

displaying the captured image with the calculated corrected values.

2. The method according to claim 1, wherein the one or more local turning points comprise one or more local minima.

3. The method according to claim 2, wherein processing the signals to determine whether an amplitude of the signals at the local turning point meets a given condition comprises determining that an absolute value of differences between the signals at the one or more local minima and neighboring signals is less than a predetermined threshold.

4. The method according to claim 3, wherein the predetermined threshold is a function of a noise level of the sensor elements, and wherein adding the predetermined value comprises adding the noise level to the signals at the one or more local minima.

5. The method according to claim 1, wherein the one or more local turning points comprise one or more local maxima.

6. The method according to claim 5, wherein processing the signals to determine whether an amplitude of the signals at the local turning point meets a given condition comprises determining that an absolute value of differences between the signals at the one or more local maxima and neighboring signals is less than a predetermined threshold.

7. The method according to claim 6, wherein the predetermined threshold is a function of a noise level of the sensor elements, and wherein adding the predetermined value comprises subtracting the noise level from the signals at the one or more local maxima.

8. The method according to claim 1, wherein analyzing the signals along the row or the column comprises evaluating the signals of a given sensor element and of nearest neighbor sensor elements of the given sensor element along the row or the column.

9. The method according to claim 8, wherein the nearest neighbor sensor elements comprise a first sensor element and a second sensor element, and wherein the first sensor element, the given sensor element, and the second sensor element are contiguous.

10. The method according to claim 8, wherein the nearest neighbor sensor elements comprise a first plurality of sensor elements and a second plurality of sensor elements, wherein the first and the second pluralities are disjoint, and wherein the given sensor element lies between the first and the second pluralities.

11. The method according to claim 1, wherein the sensor elements along the row or the column comprise first elements configured to detect a first color and second elements configured to detect a second color different from the first color, and wherein analyzing the signals along the row or the column comprises analyzing the signals from the first elements to identify the one or more local turning points.

21. The method according to claim 1, wherein adding the predetermined value comprises adding an average noise level of the array of sensor elements.

12. A method, comprising:

receiving signals, from a rectangular array of sensor elements arranged in rows and columns, corresponding to an image captured by the array;

identifying a first row and a second row contiguous with the first row;

prior to receiving second row signals from the second row;

receiving first row signals from the first row;

analyzing the first row signals along the first row to identify one or more first row local turning points within the row;

processing the first row signals at the identified first row local turning points to determine whether the signals at the first row local turning points meet a given condition;

calculating corrected values of the first row signals of the image captured by the array of sensor elements at the identified first row local turning points, by adding to the identified first row local turning points meeting the given condition, a predetermined value which reduces the amplitude if the turning point is a maximum and which increases the amplitude if the turning point is a minimum, so as to reduce the fixed pattern noise in the image; and

displaying an image based on the received signals with the corrected values.

13. The method according to claim 12, wherein the one or more first row local turning points comprise one or more first row local minima.

14. The method according to claim 12, wherein the one or more first row local turning points comprise one or more first row local maxima.

15. A method, comprising:

receiving signals, from a rectangular array of sensor elements arranged in rows and columns, corresponding to an image captured by the array;

analyzing the signals along a diagonal of the array to identify one or more local turning points within the diagonal;

processing the signals at the identified local turning points to determine whether the signals at the local turning points meet a given condition;

correcting values of the signals of the image captured by the array of sensor elements at the identified local turning points, by adding to the identified turning points meeting the given condition, a predetermined value which reduces the amplitude if the turning point is a maximum and which increases the amplitude if the turning point is a minimum, so as to reduce the fixed pattern noise in the image; and

displaying the captured image with the corrected values.

16. Apparatus, comprising:

a rectangular array of sensor elements arranged in rows and columns, configured to output signals corresponding to an image captured by the array; and

a processor which is configured to;

analyze the signals along a row or a column to identify one or more local turning points within the row or the column,

process the signals at the identified local turning points to determine whether the signals at the local turning point meet a given condition,

calculate corrected values of the signals of the image captured by the array of sensor elements at the identified local turning points, by adding to the identified turning points meeting the given condition, a predetermined value which reduces the amplitude if the turning point is a maximum and which increases the amplitude if the turning point is a minimum, so as to reduce the fixed pattern noise in the image, and

display the captured image with the calculated corrected values.

19. The apparatus of claim 16, wherein the processor is configured to correct values of the signals by a noise level of the sensor elements, determined before the sensor elements are used.

20. The apparatus of claim 16, wherein the processor is configured to correct values of signals at identified local turning points, only if the difference between the value at the local turning point and neighboring points is smaller than a threshold value.

17. Apparatus, comprising:

a rectangular array of sensor elements arranged in rows and columns, configured to output signals corresponding to an image captured by the array; and

a processor which is configured to;

identify a first row and a second row contiguous with the first row, and prior to receiving second row signals from the second row;

receive first row signals from the first row,

analyze the first row signals along the first row to identify one or more first row local turning points within the first row,

process the first row signals at the identified first row local turning points to determine whether the signals at the local turning point meet a given condition,

calculate corrected values of the first row signals of the image captured by the array of sensor elements at the identified first row local turning points, by adding to the identified turning points meeting the given condition, a predetermined value which reduces the amplitude if the turning point is a maximum and which increases the amplitude if the turning point is a minimum, so as to reduce the fixed pattern noise in the image, and

display the captured image with the calculated corrected values.

18. Apparatus, comprising:

a rectangular array of sensor elements arranged in rows and columns, configured to output signals corresponding to an image captured by the array; and

a processor which is configured to;

analyze the signals along a diagonal of the array to identify one or more local turning points within the diagonal,

process the signals at the identified local turning points to determine whether the signals at the local turning point meet a given condition,

calculate corrected values of the signals of the image captured by the array of sensor elements at the identified local turning points, by adding to the identified turning points meeting the given condition, a predetermined value which reduces the amplitude if the turning point is a maximum and which increases the amplitude if the turning point is a minimum, so as to reduce the fixed pattern noise in the image, and

display the captured image with the calculated corrected values.