10 April 2018 Fast total variation-based image restoration using blockwise accelerated proximal gradient approach
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Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106153D (2018) https://doi.org/10.1117/12.2305216
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China
Abstract
This paper proposes a blockwise accelerated proximal gradient (BAPG) approach. It chooses a block diagonal Lipschitz matrix in the generalized APG algorithm, such that the subproblems can be solved either by fast Fourier transform (FFT) or in closed forms. Experiments verify the great speed advantage of BAPG for total variation-based image restoration.
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Gang Xiao, Gang Xiao, Zifei Yan, Zifei Yan, Weigang Lv, Weigang Lv, Shan Liu, Shan Liu, "Fast total variation-based image restoration using blockwise accelerated proximal gradient approach", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153D (10 April 2018); doi: 10.1117/12.2305216; https://doi.org/10.1117/12.2305216
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