Table of Contents Author Guidelines Submit a Manuscript
The Scientific World Journal
Volume 2014 (2014), Article ID 137349, 16 pages
http://dx.doi.org/10.1155/2014/137349
Research Article

Saliency Detection Using Sparse and Nonlinear Feature Representation

1Beijing Key Laboratory of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China
2School of Automation, Beijing Institute of Technology, Beijing 100081, China
3Centres of Excellence in Science and Applied Technologies, Islamabad 44000, Pakistan

Received 17 February 2014; Accepted 11 March 2014; Published 8 May 2014

Academic Editor: Antonio Fernández-Caballero

Copyright © 2014 Shahzad Anwar 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.

Citations to this Article [1 citation]

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

  • Liu, Qi, and Ding, “Infrared and visible image fusion method based on saliency detection in sparse domain,” Infrared Physics and Technology, vol. 83, pp. 94–102, 2017. View at Publisher ยท View at Google Scholar