Separable Kernel for Image Deblurring

CVPR 2014 Lu FangHaifeng LiuFeng WuXiaoyan SunHouqiang Li

In this paper, we deal with the image deblurring problem in a completely new perspective by proposing separable kernel to represent the inherent properties of the camera and scene system. Specifically, we decompose a blur kernel into three individual descriptors (trajectory, intensity and point spread function) so that they can be optimized separately... (read more)

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