Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2014, Article ID 937560, 17 pages
http://dx.doi.org/10.1155/2014/937560
Research Article

Truncated Nuclear Norm Minimization for Image Restoration Based on Iterative Support Detection

School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu 611731, China

Received 20 June 2014; Accepted 21 August 2014; Published 17 November 2014

Academic Editor: Chien-Yu Lu

Copyright © 2014 Yilun Wang and Xinhua Su. 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 [6 citations]

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

  • Ya-Xuan Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, and Ling-Yun Dai, “Low-rank representation regularized by L2,1]]>-norm for identifying differentially expressed genes,” 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 626–629, . View at Publisher · View at Google Scholar
  • Ya-Xuan Wang, Ying-Lian Gao, Jin-Xing Liu, Xiang-Zhen Kong, and Hai-Jun Li, “Robust Principal Component Analysis Regularized by Truncated Nuclear Norm for Identifying Differentially Expressed Genes,” IEEE Transactions on NanoBioscience, vol. 16, no. 6, pp. 447–454, 2017. View at Publisher · View at Google Scholar
  • Jianwei Zhao, Yongbiao Lv, Zhenghua Zhou, and Feilong Cao, “A novel deep learning algorithm for incomplete face recognition: Low-rank-recovery network,” Neural Networks, 2017. View at Publisher · View at Google Scholar
  • Ya-Xuan Wang, Jin-Xing Liu, Ying-Lian Gao, Xiang-Zhen Kong, Chun-Hou Zheng, and Yong Du, “Differentially expressed genes selection via Truncated Nuclear Norm Regularization,” Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016, pp. 1851–1855, 2017. View at Publisher · View at Google Scholar
  • Hongyao Deng, Qingxin Zhu, Jinsong Tao, and Xiuli Song, “Optimizing Shrinkage Curves and Application in Image Denoising,” Mathematical Problems in Engineering, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar
  • Wenyu Hu, Zhao Wang, Shuang Liu, Xiaosong Yang, Gaohang Yu, and Jian J. Zhang, “Motion Capture Data Completion via Truncated Nuclear Norm Regularization,” IEEE Signal Processing Letters, vol. 25, no. 2, pp. 258–262, 2018. View at Publisher · View at Google Scholar