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The Scientific World Journal
Volume 2014 (2014), Article ID 319506, 5 pages
http://dx.doi.org/10.1155/2014/319506
Research Article

Adaptive Total Variation Minimization-Based Image Enhancement from Flash and No-Flash Pairs

1School of Computer Science, Kookmin University, 77 Jeongneung-ro, Seogbuk-gu, Seoul 136-702, Republic of Korea
2Institute of Mathematical Sciences, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea
3Department of Mathematics, Ewha Womans University, 52 Ewhayeodae-gil, Seodaemun-gu, Seoul 120-750, Republic of Korea

Received 17 December 2013; Accepted 28 January 2014; Published 4 March 2014

Academic Editors: P. Kosmas, Y. Wu, and X. You

Copyright © 2014 Sang Min Yoon 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.

  • Barmak Honarvar Shakibaei, and Peyman Jahanshahi, “Image Deconvolution by Means of Frequency Blur Invariant Concept,” The Scientific World Journal, vol. 2014, pp. 1–8, 2014. View at Publisher ยท View at Google Scholar