Methods and apparatuses for addressing chromatic abberations and purple fringing
View Patent ↗Methods and systems for detecting and correcting chromatic aberration and purple fringing are disclosed. Chromatic aberration can be addressed by separating an image into color planes and then adjusting these to reduce chromatic aberration by using a specific calibration image (calibration chart) as an empirical method to calibrate the image acquisition device. Purple fringing can be corrected by initially addressing color aberration resulting from the lateral chromatic aberration (LCA). The LCA is first removed and then the correction is extended to purple fringing. A discovery is relied upon that the purple fringing is created in the direction of the chromatic aberration and is more pronounced in the direction of the chromatic aberration.
1. A processor-implemented method of correcting lateral chromatic aberrations in digital images within a digital image acquisition device, comprising:
calibrating a camera-lens pair;
acquiring a digital image;
correcting lateral chromatic aberrations within the digital image, including:
finding a displacement for a current pixel in a temporary buffer;
designating the displacement as a relative position in a source buffer;
interpolating a displacement value, comprising:
estimating a mean distance between data points,
organizing the data points into a rectangular array, and
estimating said displacement value by inverse distance weighting;
storing interpolated displacement value in the temporary buffer; and
repeating for next one or more pixels and end after last pixel; and
outputting, storing, displaying, projecting, or transmitting a corrected digital image which has been corrected for lateral chromatic aberrations in two dimensions, or a further processed version of the digital image, or combinations thereof.
2. The method of claim 1 , wherein the calibrating comprises:
detecting measurement points of a test image;
measuring aberration; and
interpolating scattered data.
3. The method of claim 2 , wherein the measuring aberration comprises thresholding.
4. The method of claim 2 , wherein the calibrating further comprises:
finding and storing first and second data points in a first dimension;
applying linear interpolation to empty points between the first and second data points;
substituting value of second point to value of first point; and
increment a second dimension and repeat one or more times.
5. The method of claim 1 , wherein the interpolating comprising applying a sinc filter.
6. The method of claim 5 , wherein the sinc filter comprises a 5×5 sinc filter.
7. A processor-implemented method of correcting lateral chromatic aberrations in digital images within a digital image acquisition device according to claim 1 , wherein the method further comprises calculating corrected values for red (R) and blue (B) color channels as follows:
R′=R+(G−R)×corR; B′=B+(G−B)×corB; where corR and corB are selected correction ratios for the red and blue color channels, respectively.
8. The method of claim 7 , wherein the selected correction ratios corR and corB comprise:
Cor R ={ CR =0.1×clamp ([ R ( x,y )− RC ( x,y )],10)}× CRB ; and
Cor B ={ CB =0.1×clamp ([ B ( x,y )− BC ( x,y )],10)}× CRB;
where clamp (.,.) returns second term when first term exceeds it; and
CRB= 1+cos [ abs ( Rc ( x,y )− Bc ( x,y ))π/200, when abs ( Rc ( x,y )− Bc ( x,y ))≦200; and
CRB= 0 when abs ( Rc ( x,y )− Bc ( x,y ))<200.
9. The method of claim 7 , further comprising applying color corruption correction when G<R′ and R′<B′.
10. The method of claim 1 , wherein the interpolating comprises selecting a pixel neighborhood and performing the method in a single pass.
11. One or more non-transitory processor readable media having code embedded therein for programming a processor to perform a method of correcting lateral chromatic aberrations in digital images, wherein the method comprises:
calibrating a camera-lens pair;
acquiring a digital image;
correcting lateral chromatic aberrations within the digital image, including:
finding a displacement for a current pixel in a temporary buffer;
designating the displacement as a relative position in a source buffer;
interpolating a displacement value, comprising:
estimating a mean distance between data points,
organizing the data points into a rectangular array, and
estimating said displacement value by inverse distance weighting;
store interpolated displacement value in the temporary buffer; and
repeat for next one or more pixels and end after last pixel.
12. The one or more non-transitory processor-readable media of claim 11 , wherein the calibrating comprises:
detecting measurement points of a test image;
measuring aberration; and
interpolating scattered data.
13. The one or more non-transitory processor-readable media of claim 12 , wherein the measuring aberration comprises thresholding.
14. The one or more non-transitory processor-readable media of claim 12 , wherein the calibrating further comprises:
finding and storing first and second data points in a first dimension;
applying linear interpolation to empty points between the first and second data points;
substituting value of second point to value of first point; and
increment a second dimension and repeat one or more times.
15. The one or more non-transitory processor-readable media of claim 11 , wherein the interpolating comprising applying a sinc filter.
16. The one or more non-transitory processor-readable media of claim 15 , wherein the sinc filter comprises a 5×5 sinc filter.
17. One or more non-transitory processor readable media according to claim 11 , wherein the method comprises calculating corrected values for red (R) and blue (B) color channels as follows:
R′=R+(G−R)×corR; B′=B+(G−B)×corB; where corR and corB are selected correction ratios for the red and blue color channels, respectively.
18. The one or more non-transitory processor-readable media of claim 17 , wherein the selected correction ratios corR and corB comprise:
Cor R ={ CR =0.1×clamp ([ R ( x,y )− RC ( x,y )],10)}× CRB ; and
Cor B ={ CB =0.1×clamp ([ B ( x,y )− BC ( x,y )],10)}× CRB;
where clamp (.,.) returns second term when first term exceeds it; and
CRB= 1+cos [ abs ( Rc ( x,y )− Bc ( x,y ))π/200, when abs ( Rc ( x,y )− Bc ( x,y ))≦200; and
CRB= 0 when abs ( Rc ( x,y )− Bc ( x,y ))<200.
19. The one or more non-transitory processor-readable media of claim 18 , wherein the method further comprises applying color corruption correction when G<R′ and R′<B′.
20. The one or more processor-readable media of claim 11 , wherein the interpolating comprises selecting a pixel neighborhood and performing the method in a single pass.
21. A portable digital image acquisition device comprising a lens, an image sensor, a processor, and one or more processor readable media having code embedded therein for programming the processor to perform a method of correcting lateral chromatic aberrations in digital images, wherein the method comprises:
calibrating a camera-lens pair;
acquiring a digital image;
correcting lateral chromatic aberrations within the digital image, including:
finding a displacement for a current pixel in a temporary buffer;
designating the displacement as a relative position in a source buffer;
interpolating a displacement value, comprising:
estimating a mean distance between data points,
organizing the data points into a rectangular array, and
estimating said displacement value by inverse distance weighting;
storing interpolated displacement value in the temporary buffer; and
repeating for next one or more pixels and end after last pixel; and
outputting, storing, displaying, projecting, or transmitting a corrected digital image which has been corrected for lateral chromatic aberrations, or a further processed version of the digital image, or combinations thereof.
22. The device of claim 21 , wherein the calibrating comprises:
detecting measurement points of a test image;
measuring aberration; and
interpolating scattered data.
23. The device of claim 22 , wherein the measuring aberration comprises thresholding.
24. The device of claim 22 , wherein the calibrating further comprises:
finding and storing first and second data points in a first dimension;
applying linear interpolation to empty points between the first and second data points;
substituting value of second point to value of first point; and
increment a second dimension and repeat (ii)-(v) one or more times.
25. The device of claim 21 , wherein the interpolating comprising applying a sinc filter.
26. The device of claim 25 , wherein the since filter comprises a 5×5 sinc filter.
27. A portable digital image acquisition device comprising a lens, an image sensor, a processor, and one or more processor readable media having code embedded therein for programming the processor to perform a method of correcting lateral chromatic aberrations in digital images according to claim 21 , wherein the method comprises calculating corrected values for red (R) and blue (B) color channels as follows:
R′=R+(G−R)×corR; B′=B+(G−B)×corB; where corR and corB are selected correction ratios for the red and blue color channels, respectively.
28. The device of claim 27 , wherein the selected correction ratios corR and corB comprise:
Cor R ={ CR =0.1×clamp ([ R ( x,y )− RC ( x,y )],10)}× CRB ; and
Cor B ={ CB =0.1×clamp ([ B ( x,y )− BC ( x,y )],10)}× CRB;
where clamp (.,.) returns second term when first term exceeds it; and
CRB= 1+cos [ abs ( Rc ( x,y )− Bc ( x,y ))π/200, when abs ( Rc ( x,y )− Bc ( x,y ))≦200; and
CRB= 0 when abs ( Rc ( x,y )− Bc ( x,y ))<200.
29. The device of claim 28 , wherein the method further comprises applying color corruption correction when G<R′ and R′<B′.
30. The device of claim 21 , wherein the interpolating comprises selecting a pixel neighborhood and performing the method in a single pass.