Detection of false color in an image

1. A computing device configured to detect false color in an image, the device comprising:

circuitry configured to apply an edge preserving filter to an image sensor output to generate a first demosaiced image;

circuitry configured to apply a low pass filter to the image sensor output to generate a second demosaiced image;

circuitry configured to calculate a hue difference between the first demosaiced image and the second demosaiced image; and

circuitry configured to detect a false color region responsive to the hue difference exceeding a threshold hue difference.

2. The device as in claim 1 , wherein the image sensor output comprises a Bayer image.

3. The device as in claim 1 , wherein the image sensor comprises a color filter array.

4. The device as in claim 1 , wherein the edge preserving filter comprises a local linear model interpolation.

5. The device as in claim 1 , wherein the low pass filter comprises an averaging interpolation.

6. The device as in claim 1 , wherein applying the edge preserving filter to the image sensor output further comprises applying a filter to neighboring pixels in a core window surrounding a pixel to determine a color value for the pixel.

7. The device as in claim 1 , wherein applying the low pass filter to the image sensor output further comprises determining a weighted average of neighboring pixels in a core window surrounding a pixel to determine a color value for the pixel.

8. The device as in claim 1 , wherein the first demosaiced image and the second demosaiced image comprise color triplets.

9. A method for detecting false color in an image, the method comprising:

applying an edge preserving filter to an image sensor output to generate a first demosaiced image;

applying a low pass filter to the image sensor output to generate a second demosaiced image;

calculating a hue difference between the first demosaiced image and the second demosaiced image; and

detecting a false color region responsive to the hue difference exceeding a threshold hue difference.

10. The method as in claim 9 , wherein the image sensor comprises a color filter array.

11. The method as in claim 9 , wherein the edge preserving filter comprises a local linear model interpolation.

12. The method as in claim 9 , wherein the low pass filter comprises an averaging interpolation.

13. The method as in claim 9 , wherein applying the edge preserving filter to the image sensor output further comprises applying a filter to neighboring pixels in a core window surrounding a pixel to determine a color value for the pixel.

14. The method as in claim 9 , wherein applying the low pass filter to the image sensor output further comprises determining a weighted average of neighboring pixels in a core window surrounding a pixel to determine a color value for the pixel.

15. The method as in claim 9 , wherein the first demosaiced image and the second demosaiced image comprise color triplets.

16. The method as in claim 9 , wherein the image sensor output comprises a Bayer image.

17. A non-transitory computer readable medium having instructions thereon which when executed by a processor cause the processor to: apply an edge preserving filter to an image sensor output to generate a first demosaiced image; apply a low pass filter to the image sensor output to generate a second demosaiced image; calculate a hue difference between the first demosaiced image and the second demosaiced image; and detect a false color region responsive to the hue difference exceeding a threshold hue difference.

18. The non-transitory computer readable medium as in claim 17 , wherein the image sensor output comprises a Bayer image.

19. The non-transitory computer readable medium as in claim 17 , wherein the edge preserving filter comprises a local linear model interpolation.

20. The non-transitory computer readable medium as in claim 17 , wherein the low pass filter comprises an averaging interpolation.