Image Haze Removal Using Dark Channel Prior

In this paper,It mainly studied the method of image haze removal based on the dark channel prior and simulation realization about it. Experiment has proved that,the algorithm can according to the different concentration levels of fog to haze removal higher quality.This haze removal algorithm can keep the feeling of depth of the image, and reducing the real color of the image. Index Terms - image enhancement haze removal dark channel prior In atomization images,the clarity of image details and color fidelity will decrease due to the two parts factors as atmospheric light scattering and transmittance.The quality of atmospheric light and transmittance,depends largely on the distance of the scene to the camera,therefore,atomization image degradation is associated with the distance of the scene to the camera.Haze removal image processing using dark channel prior,not only could according to the different concentration of the haze to processing images,but also could obtain a better quality of the depth map.This algorithm will have a better effect of haze removal for the atomization images such as traffic roads which have depth of features. In addition,this algorithm could improve the clarity of images,to achieve the reduction of color,as well as some of the enhanced processing for image details,and high quality haze-free images would be recovered.