Single image blind motion deblurring with sparse representation
基于稀疏表示的单帧运动图像盲复原

This paper presented a blind motion deblurring method based on sparse representation which made full use of nature image priors. It contained two phases: kernel estimation and image restoration. In the step of kernel estimation, it used shock filter to predict sharp edges from blurring image which conducted global image restoration. It applied multi-scale scheme to solve big kernel problem. In the step of image restoration, it applied sparse representation to denoise and rebuild latent image which improved image restoration quality. Experimental results show that the proposed method can effectively remove motion blurring under different noises and kernels.