A content-adaptive method for single image dehazing

Authors:
Chao-Tsung Chu;Ming-Sui Lee
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
Venue:
PCM'10 Proceedings of the Advances in multimedia information processing, and 11th Pacific Rim conference on Multimedia: Part II
Year:
2010

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Abstract

A content adaptive method for single image dehazing is proposed in this work. Since the degradation level affected by haze is related to the depth of the scene and pixels in each specific part of the image (such as trees, buildings or other objects) tend to have similar depth to the camera, we assume that the degradation level affected by haze of each region is the same That is, the transmission in each region should be similar as well. Based on this assumption, each input image is segmented into different regions and transmission is estimated for each region followed by refinement by soft matting. As a result, the hazy images can be successfully recovered. The experimental results demonstrate that the proposed method performs satisfactorily.