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Levin, A., Weiss, Y., Durand, F., et al. (2009) Nderstanding and Evaluating Blind Deconvolution Algorithms. 2013 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 1964-1971.

has been cited by the following article:

  • TITLE: Image Motion Deblurring Based on Salient Structure Selection and L0-2 Norm Kernel Estimation

    AUTHORS: Fuwei Zhang, Yumin Tian

    KEYWORDS: Motion Deblurring, Structure Selection, Kernel Estimation

    JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.3, March 13, 2017

    ABSTRACT: Single image motion deblurring has been a very challenging problem in the field of image processing. Although there are many researches had been proposed to solve this problem, it still has problems on kernel accuracy. In order to improve the kernel accuracy, an effective structure selection method was used to select the salient structure of the blur image. Then a novel kernel estimation method based on L0-2 norm was proposed. To guarantee the sparse kernel and eliminate the negative influence of details L0-norm was used. And L2-norm was used to ensure the continuity of kernel. Many experiments were done to compare proposed method and state-of-the-art methods. The results show that our method can estimate a better kernel and use less time than previous work, especially when the size of blur kernel is large.