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The Scientific World Journal
Volume 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.

Abstract

We present a novel approach for enhancing the quality of an image captured from a pair of flash and no-flash images. The main idea for image enhancement is to generate a new image by combining the ambient light of the no-flash image and the details of the flash image. In this approach, we propose a method based on Adaptive Total Variation Minimization (ATVM) so that it has an efficient image denoising effect by preserving strong gradients of the flash image. Some numerical results are presented to demonstrate the effectiveness of the proposed scheme.