DocumentCode :
3473456
Title :
Optimal color spaces for image demosaicing
Author :
Gershikov, Evgeny ; Porat, Moshe
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1621
Lastpage :
1624
Abstract :
Most demosaicing algorithms today are based on first reconstructing the green (G) color component followed by the reconstruction of the red (R) and the blue (B) components using the green. This approach and associated methods of using the differences R-G and B-G are arbitrary and in most cases not optimal. Instead, we propose optimal color spaces for demosaicing. Our optimization is based on energy compactness and smoothness of the color components. We compare the performance of the proposed algorithms to presently available demosaicing methods and show that the new approaches are superior both visually and quantitatively. Our conclusion is that the new color spaces improve the performance of demosaicing algorithms.
Keywords :
image colour analysis; blue color component; green color component; image demosaicing; optimal color spaces; red color component; Cities and towns; Digital cameras; Filters; Image reconstruction; Interpolation; Iterative algorithms; Optimization methods; Roentgenium; Sensor arrays; Space technology; Bayer pattern; Demosaicing; color transform; interpolation; optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413387
Filename :
5413387
Link To Document :
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