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Mathematical Problems in Engineering
Volume 2017, Article ID 4850317, 8 pages
Research Article

Relaxation Factor Optimization for Common Iterative Algorithms in Optical Computed Tomography

1School of Electrical Engineering and Electronic Information, Xihua University, Chengdu 610039, China
2Sichuan Province Key Laboratory of Signal and Information Processing, Xihua University, Chengdu 610039, China
3Hiroshima Institute of Technology, Hiroshima 731-5193, Japan

Correspondence should be addressed to Wenbo Jiang; moc.liamg@gnaijobnewsac

Received 12 April 2017; Revised 6 June 2017; Accepted 12 June 2017; Published 16 July 2017

Academic Editor: Eric Feulvarch

Copyright © 2017 Wenbo Jiang and Xiaohua Zhang. 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.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • Ryosuke Kasai, Yusaku Yamaguchi, Takeshi Kojima, and Tetsuya Yoshinaga, “Tomographic Image Reconstruction Based on Minimization of Symmetrized Kullback-Leibler Divergence,” Mathematical Problems in Engineering, vol. 2018, pp. 1–9, 2018. View at Publisher · View at Google Scholar