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30 October 2009Removing shift-variant motion blur from an image using Poisson interpolation
Photographs captured with sufficient exposure under low-light conditions are usually blurred if there are moving objects.
Under some circumstances, the restoration is challenging because of complicated motion blur such as rotation and
distortion. In this paper, we propose a novel method to replace the motion blur objects of blurred image with the
corresponding sharp objects of flash image using Poisson interpolation. First, assisted by the sufficient exposure blurred
image, we adopt graph-cut to minimize a simple cost function and extract the intensely lightened sharp objects in the
flash image. Second, we interpolate the extracted sharp objects into the blurred image, and then remove the remnant blur
around the sharp objects through gradient domain Poisson interpolation. Further, a simple method is designed that the
user can interactively adjust the brightness and contrast of flash area in the synthetical image. The experiments
demonstrate that our algorithms are efficient.
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Chunjian Ren, Xiaoqiang Liu, Yi Qiao, "Removing shift-variant motion blur from an image using Poisson interpolation," Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 749502 (30 October 2009);