Single image dehazing using non-symmetry and anti-packing model based decomposition and contextual regularization

As the need of people pursuing the good quality of photos is growing faster in these days, there are lots of effects which have been done to improve the visual of the picture taken in bad weather, such as the fog. In this paper, a scheme of improved single image dehazing based on NAM (Non-symmetry and Anti-packing Model)-based decomposition and contextual regularization is proposed. Firstly, we introduced the basic idea of the Non-symmetry and Anti-packing Model. And then the foggy image is decomposed using NAM for the dehazing process. Finally, the boundary constraint and contextual regularization are used for the scene transmission. The experimental results presented in this paper showed the improvement of the dehazing effect by our proposed method.

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