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Abstract and Applied Analysis
Volume 2013 (2013), Article ID 129652, 9 pages
http://dx.doi.org/10.1155/2013/129652
Research Article

Two New Efficient Iterative Regularization Methods for Image Restoration Problems

School of Mathematical Sciences/Institute of Computational Science, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China

Received 4 March 2013; Revised 2 June 2013; Accepted 10 June 2013

Academic Editor: Marco Donatelli

Copyright © 2013 Chao Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Chao Zhao, Ting-Zhu Huang, Xi-Le Zhao, and Liang-Jian Deng, “Two New Efficient Iterative Regularization Methods for Image Restoration Problems,” Abstract and Applied Analysis, vol. 2013, Article ID 129652, 9 pages, 2013. doi:10.1155/2013/129652