Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion

Image dehazing is one of the problems that need to be solved urgently in field computer vision. In recent years, more and algorithms have been applied image achieved good results. However, after still has color distortion, contrast saturation disorder, other challenges; order solve these problems, this paper, an effective method proposed, which based on improved channel transfer multiexposure fusion achieve dehazing. First, preprocessed using a k-means. Second, gamma correction introduced basis guided filtering obtain series images, obtained images are fused into dehazed through Laplacian pyramid scheme local similarity adaptive weights. Finally, corrections performed image. Experimental verification carried out synthetic natural it verified proposed superior existing from both subjective objective aspects.