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Mathematical Problems in Engineering
Volume 2014, Article ID 368602, 10 pages
http://dx.doi.org/10.1155/2014/368602
Research Article

Dictionary-Based Image Denoising by Fused-Lasso Atom Selection

1School of Computer Science and Technology, Harbin University of Science and Technology, Harbin 150080, China
2Graduate School of Informatics and Engineering, University of Electro-Communications, Tokyo 182-8585, Japan

Received 7 May 2014; Revised 12 August 2014; Accepted 13 August 2014; Published 28 August 2014

Academic Editor: Carla Roque

Copyright © 2014 Ao Li and Hayaru Shouno. 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 [4 citations]

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

  • Caixia Zheng, Fan Zhang, Huirong Hou, Chao Bi, Ming Zhang, and Baoxue Zhang, “Active Discriminative Dictionary Learning for Weather Recognition,” Mathematical Problems in Engineering, vol. 2016, pp. 1–12, 2016. View at Publisher · View at Google Scholar
  • Ao Li, Deyun Chen, Kezheng Lin, and Guanglu Sun, “Hyperspectral Image Denoising with Composite Regularization Models,” Journal of Sensors, vol. 2016, pp. 1–9, 2016. View at Publisher · View at Google Scholar
  • Huang Bai, Sheng Li, and Qianru Jiang, “An Efficient Algorithm for Learning Dictionary under Coherence Constraint,” Mathematical Problems in Engineering, vol. 2016, pp. 1–11, 2016. View at Publisher · View at Google Scholar
  • Feng Zhao, Weijian Si, Zheng Dou, and Qidi Wu, “Image compressive recovery based on dictionary learning from under-sampled measurement,” Multimedia Tools and Applications, 2017. View at Publisher · View at Google Scholar