Using filter banks to enhance images for fluid lens cameras based on color correlation

Authors:
Jack Tzeng;Truong Nguyen
Affiliations:
University of California, San Diego, Electrical and Computer Engineering, La Jolla, 92092, USA;University of California, San Diego, Electrical and Computer Engineering, La Jolla, 92092, USA
Venue:
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Year:
2009

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Contourlet domain multiband deblurring based on color correlation for fluid lens cameras

IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation

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Abstract

The novel field of fluid lens cameras introduces unique image processing challenges. Intended for surgical applications, these fluid optics systems have improved miniaturization over glass lenses and do not have moving parts while zooming. However, the liquid medium creates non-uniform color blur, which causes certain color planes to appear sharper than others. We propose an adapted perfect reconstruction filter bank that uses high frequency sub-bands of sharp color planes to improve blurred color planes. The approach is refined by adjusting the decomposition level based on limited channel information. This paper primarily considers the use of a sharp green color plane to improve a blurred blue color plane. More generally, these methods could improve the red color plane as well as any system with high edge correlation between two images.