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Journal of Electronic Imaging

Image dehaze using alternating Laplacian and Beltrami regularizations
Author(s): Zhi Dou; Yubing Han; Weixing Sheng; Xiaofeng Ma
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Paper Abstract

We propose an effective physical model based single-image dehazing algorithm under the regularization framework. Using an anisotropic Laplacian term as a constraint, the atmospheric propagation model that encodes the thickness of the haze is estimated by the regularization theory. Employing the physical model, haze-free images are reconstructed via the Beltrami regularization based on the color image manifold theory. Comparative experiments on a variety of test images demonstrate the power and the applicability of the proposed method.

Paper Details

Date Published: 6 March 2015
PDF: 9 pages
J. Electron. Imaging. 24(2) 023004 doi: 10.1117/1.JEI.24.2.023004
Published in: Journal of Electronic Imaging Volume 24, Issue 2
Show Author Affiliations
Zhi Dou, Nanjing Univ. of Science and Technology (China)
Yubing Han, Nanjing Univ. of Science and Technology (China)
Weixing Sheng, Nanjing Univ. of Science and Technology (China)
Xiaofeng Ma, Nanjing Univ. of Science and Technology (China)


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