Single image dehazing based on contrast enhancement


A simple and adaptive single image dehazing algorithm is proposed in this work. Based on the observation that a hazy image has low contrast in general, we attempt to restore the original image by enhancing the contrast. First, the proposed algorithm estimates the airlight in a given hazy image based on the quad-tree subdivision. Then, the proposed algorithm estimates the transmission map to maximize the contrast of the output image. To measure the contrast, we develop a cost function, which consists of a standard deviation term and a histogram uniformness term. Experimental results demonstrate that the proposed algorithm can remove haze efficiently and reconstruct fine details in original scenes clearly.

DOI: 10.1109/ICASSP.2011.5946643

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@article{Kim2011SingleID, title={Single image dehazing based on contrast enhancement}, author={Jin-Hwan Kim and Jae-Young Sim and Chang-Su Kim}, journal={2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, year={2011}, pages={1273-1276} }