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Proceedings Paper

Fast total variation-based image restoration using blockwise accelerated proximal gradient approach
Author(s): Gang Xiao; Zifei Yan; Weigang Lv; Shan Liu
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Paper 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.

Paper Details

Date Published: 10 April 2018
PDF: 12 pages
Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106153D (10 April 2018); doi: 10.1117/12.2305216
Show Author Affiliations
Gang Xiao, No.211 Hospital of PLA (China)
Zifei Yan, Harbin Institute of Technology (China)
Weigang Lv, Ocean Univ. of China (China)
Shan Liu, No.211 Hospital of PLA (China)

Published in SPIE Proceedings Vol. 10615:
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
Hui Yu; Junyu Dong, Editor(s)

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