An efficient nonconvex regularization for wavelet frame and total variation based image restoration-Reference-Cited by-同舟云学术

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An efficient nonconvex regularization for wavelet frame and total variation based image restoration

Published:2015-12 Issue: Volume:290 Page:553-566
ISSN:0377-0427
Container-title:Journal of Computational and Applied Mathematics
language:en
Short-container-title:Journal of Computational and Applied Mathematics

Author:

Lv Xiao-Guang,Song Yong-Zhong,Li Fang

Funder

NSFC

Natural Science Foundation of Jiangsu Province

Postdoctoral Research Funds

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Mathematics

Reference46 articles.

1. Digital image restoration;Banham;IEEE Signal Process. Mag.,1997

2. Computational Methods for Inverse Problems, Vol. 23;Vogel,2002

3. Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods;Chan,2005

4. Deblurring Images: Matrices, Spectra, and Filtering, Vol. 3;Hansen,2006

5. Iterative methods for image deblurring: a matlab object-oriented approach;Nagy;Numer. Algorithms,2004

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