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| Novel Single Hazy Image Restoration Method Based on Nonlocal Total Variation Regularization Optimization |
| HE Renjie①② FAN Yangyu① WANG Zhiyong② FENG David② |
①(Shaanxi Key Laboratory of Information Acquisition and Processing, The School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710129, China)
②(The School of Information Technologies, The University of Sydney, Sydney 2006, Australia) |
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Abstract Based on the property that the scene radiance is of high contrast and the atmospheric veil is locally smooth, a novel single hazy image restoration method based on nonlocal total variation regularization optimization is proposed in this paper. In order to obtain the atmospheric veil of a hazy image, a constrained nonlocal total variation regularization is firstly applied. Then, the accurate atmospheric veil is estimated using a nonlocal Rudin- Osher-Fatemi model, which is solved by a modified split Bregman method. Experimental results demonstrate that the proposed approach is capable of recovering the scene radiance from a single hazy image effectively, especially for the regions with multi-texture.
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Received: 07 March 2016
Published: 26 August 2016
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| Fund: The National Natural Science Foundation of China (61420106007), Shaanxi Science & Technology Co-ordination & Innovation Project |
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Corresponding Authors:
HE Renjie
E-mail: davidhrj@163.com
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