36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, pp.1273 - 1276
Abstract
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.
Publisher
36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011