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| Fast Visibility Restoration of Single Image by Progressive Scene Transmission Estimation |
| LIAO Bin① YIN Peng① ZHAO Jianhui② |
①(School of Computer Science and Information Engineering, Hubei University, Wuhan 430062, China)
②(School of Computer, Wuhan University, Wuhan 430072, China) |
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Abstract A fast visibility restoration method of single image by progressive scene transmission estimation is proposed. Based on the boundary conditions of scene radiance and the atmosphere scattering model, the initial value of the scene transmission is estimated and refined with recursive bilateral filtering. The restoration result is decomposed into a base layer and a detail layer by gradient domain recursive bilateral filtering. The high visibility?restoration result is obtained with tone mapping of the base layer and detail enhancement. Utilizing Gaussian KD tree, the high dimensional feature space of the original image is subdivided adaptively to obtain the Gaussian sampling and accelerate the restoration computing. Compared with related work, the proposed method preserves edges and details, avoiding the halo effectively. The objective indicators are applied to evaluate the restoration results. The experiment results show that the proposed method is effective and feasible, and the restoration results accord with the real scene better.
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Received: 04 May 2015
Published: 01 November 2015
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| Fund: The National Natural Science Foundation of China (61300125) |
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Corresponding Authors:
LIAO Bin
E-mail: goldgoat@126.com
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