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1. (WO2019006110) TECHNIQUES FOR CORRECTING FIXED PATTERN NOISE IN SHUTTERLESS FIR CAMERAS
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CLAIMS

What is claimed is:

1 . A method for correcting fixed pattern noise in far-infrared (FIR) images captured by a shutterless FIR camera, comprising:

determining a drift coefficient based on previously determined calibration values and high pass filter values applied to an input FIR image captured by the shutterless FIR camera;

smoothing the drift coefficient based, in part, on previously computed drift coefficient values; and

removing noise from the input image based on the smoothed drift coefficient value.

2. The method of claim 1 , further comprising:

applying a two-point correction to the input FIR image, wherein the two-point correction is based on previously determined reference point offset values and scene gain pattern values.

3. The method of claim 2, wherein the previously determined reference point offset values and the scene gain pattern values are associated with a predefined temperature range.

4. The method of claim 2, wherein the previously determined reference point offset values and the scene gain pattern values are determined for each pixel of the input image.

5. The method of claim 3, wherein the drift coefficient is based on previously determined calibration points associated with the predefined temperature range.

6. The method of claim 1 , wherein the drift coefficient is based on current ambient temperature values.

7. The method of claim 1 , wherein the drift coefficient iteratively updated based on previously corrected input images.

8. The method of claim 1 , wherein the drift coefficient is determined locally for each pixel.

9. The method of claim 1 , further comprising:

dividing the input image into multiple segments, wherein the drift coefficient is determined for each of the multiple segments individually.

10. The method of claim 1 , wherein the drift coefficient is based on the input image and on previously determined drift coefficient values for previous input images.

1 1 . The method of claim 1 , wherein smoothing the drift coefficient further comprising: weighting the average of the drift coefficient with previously smoothed drift coefficients.

12. The method of claim 1 , wherein the shutterless FIR camera is mounted on a moving vehicle.

13. A non-transitory computer readable medium having stored thereon instructions for causing a processing circuitry to perform a process, the process comprising:

determining a drift coefficient based on previously determined calibration values and high pass filter values applied to an input FIR image captured by the shutterless FIR camera;

smoothing the drift coefficient based, in part, on previously computed drift coefficient values; and

removing noise from the input image based on the smoothed drift coefficient value.

14. A electronic circuit integrated in a shutterless far-infrared (FIR) camera and configured to process FIR images, comprising:

a processing circuitry; and

a memory containing instructions that, when executed by the processing circuitry, configure the processing circuitry to:

determine a drift coefficient based on previously determined calibration values and high pass filter values applied to an input FIR image captured by the shutterless FIR camera;

smooth the drift coefficient based, in part, on previously computed drift coefficient values; and

remove noise from the input image based on the smoothed drift coefficient value.

15. The electronic circuit of claim 14, wherein the processing circuitry is further configured to:

apply a two-point correction to the input FIR image, wherein the two-point correction is based on previously determined reference point offset values and scene gain pattern values.

16. The method of claim 15, wherein the previously determined reference point offset values and the scene gain pattern values are associated with a predefined temperature range.

17. The method of claim 15, wherein the previously determined reference point offset values and the scene gain pattern values are determined for each pixel of the input image.

18. The method of claim 16, wherein the drift coefficient is based on previously determined calibration points associated with the predefined temperature range.

19. The method of claim 15, wherein the drift coefficient is based on current ambient temperature values.

20. The method of claim 15, wherein the drift coefficient iteratively updated based on previously corrected input images.

21 . The method of claim 15, wherein the drift coefficient is determined locally for each pixel.

22. The method of claim 15, wherein the processing circuitry is further configured to: divide the input image into multiple segments, wherein the drift coefficient is determined for each of the multiple segments individually.

23. The method of claim 15, wherein the drift coefficient is based on the input image and on previously determined drift coefficient values for previous input images.

24. The method of claim 15, wherein the processing circuitry is further configured to: weigh the average of the drift coefficient with previously smoothed drift coefficients.

25. The method of claim 15, wherein the shutterless FIR camera is mounted on a moving vehicle.