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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 515349, 11 pages
Research Article

Hardy Variation Framework for Restoration of Weather Degraded Images

1Department of Electronics and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China
2Department of Aeronautics and Astronautics, Air Force Engineering University, Xi’an 710038, China

Received 18 June 2015; Accepted 22 July 2015

Academic Editor: Chih-Cheng Hung

Copyright © 2015 Lin-Yuan He 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.


Images captured in fog conditions often suffer from weather of poor visibility which fades the colors and reduces the contrast in the scene. This paper proposes a novel regularization method which utilizes space transformation in order to restore the hidden scene with high dynamic range and enhanced edge information. In order to efficiently improve the visualization, the proposed method is built upon contrast stretching which can obtain better estimation map as well as solve the problem. Using minimum energy constraints, the algorithm recovers scene albedo on a number of haze images. Experimental results show that the method effectively achieves accurate and true representation.