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High-quality curvelet-based motion deblurring from an image pair
2009
2009 IEEE Conference on Computer Vision and Pattern Recognition
One promising approach to remove motion deblurring is to recover one clear image using an image pair. Existing dual-image methods require an accurate image alignment between the image pair, which could be very challenging even with the help of user interactions. Based on the observation that typical motion-blur kernels will have an extremely sparse representation in the redundant curvelet system, we propose a new minimization model to recover a clear image from the blurred image pair by
doi:10.1109/cvpr.2009.5206711
dblp:conf/cvpr/CaiJLS09a
fatcat:y4iozagwuzbnnf5hocmocue5sa