@inproceedings{d76bbae2d1b243c2b15fe986142c1559,
title = "Fast total variation-based image restoration using blockwise accelerated proximal gradient approach",
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.",
keywords = "Fast Fourier Transform, Image Restoration, Proximal Gradient Algorithm, Total Variation",
author = "Gang Xiao and Zifei Yan and Weigang Lv and Shan Liu",
note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; 9th International Conference on Graphic and Image Processing, ICGIP 2017 ; Conference date: 14-10-2017 Through 16-10-2017",
year = "2018",
doi = "10.1117/12.2305216",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Hui Yu and Junyu Dong",
booktitle = "Ninth International Conference on Graphic and Image Processing, ICGIP 2017",
address = "美国",
}