Restoration Algorithms of Degradation Image in Underground Mine Based on Dark Channel Prior

According to the image degradation problem caused by the water fog and coal dust scattering in the underground mine.In combination with the image fe atures collected from the wireless multi-media nodes in the underground coal mine a regularization Laplacian Matrix of the dark channel prior fog and dust removing mo del was provided .According to the dark channel prior theory, a statistics was conducted on the no fog image data bank from the underground mine and a physical model of the underground mine imaging was established.The model was applied to estimate the medium transmission function and light ilumination and the vivid images obtai ned would be restored with the fog and dust removing model.The experiment results showed that the algorithm could effectively restore the contrast ratio of the field an d could obviously improve the visibility of the image.