6 March 2015 Image dehaze using alternating Laplacian and Beltrami regularizations
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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.
© 2015 SPIE and IS&T
Zhi Dou, Yubing Han, Weixing Sheng, Xiaofeng Ma, "Image dehaze using alternating Laplacian and Beltrami regularizations," Journal of Electronic Imaging 24(2), 023004 (6 March 2015). https://doi.org/10.1117/1.JEI.24.2.023004 . Submission:

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