Ten lectures on wavelets
Restoring Images Degraded by Spatially Variant Blur
SIAM Journal on Scientific Computing
Linear and Nonlinear Image Deblurring: A Documented Study
SIAM Journal on Numerical Analysis
A Four-step Camera Calibration Procedure with Implicit Image Correction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
Extrapolation, Interpolation, and Smoothing of Stationary Time Series
Color plane interpolation using alternating projections
IEEE Transactions on Image Processing
Demosaicing by successive approximation
IEEE Transactions on Image Processing
Using liquid lenses to extend the operating range of a remote gaze tracking system
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Multi-band color image deblurring using contourlets for fluid lens camera systems
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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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The novel field of fluid lens cameras introduces unique image processing challenges. Intended for surgical applications, these fluid optics systems have a number of advantages over traditional glass lens systems. These advantages include improved miniaturization and no moving parts while zooming. However, the liquid medium creates two forms of image degradation: image distortion, which warps the image such that straight lines appear curved, and nonuniform color blur, which degrades the image such that certain color planes appear sharper than others. We propose the use of image processing techniques to reduce these degradations. To deal with image warping, we employ a conventional method that models the warping process as a degree-six polynomial in order to invert the effect. For image blur, we propose an adapted perfect reconstruction filter bank that uses high frequency sub-bands of sharp color planes to improve blurred color planes. The algorithm adjusts the number of levels in the decomposition and alters a prefilter based on crude knowledge of the blurring channel characteristics. While this paper primarily considers the use of a sharp green color plane to improve a blurred blue color plane, these methods can be applied to improve the red color plane as well, or more generally adapted to any system with high edge correlation between two images.