Fast restoration of haze-degraded image
WU Xiao-tia · 2013
Under haze,fog,and rain weather conditions,the image received by a photoelectric imaging system will lose the contrast and color fidelity owing to the absorption and scattering in atmosphere. To overcome the image degradation mentioned above,this paper proposes a new dark channel image estimation method using morphology filter based on the analysis of the atmospheric optical model and the dark channel priority. It further utilizes a dynamic parameter strategy to solve the color distortion in a large area of sky or white wall.Results on a variety of outdoor haze images show that the proposed method can effectively restore a haze-degraded image and improve the image quality. As for the image with 600 pixel × 400 pixel,the restoration simulation time by Matlab is only 0. 4 s. The dynamic parameter strategy is simple but effective to reduce the color distortion phenomenon.