Z. Li and J. Zheng, "Edge-Preserving Decomposition-Based Single Image Haze Removal," in IEEE Transactions on Image Processing, vol. 24, no. 12, pp. 5432-5441, Dec. 2015. doi: 10.1109/TIP.2015.2482903
Single image haze removal is under-constrained, because the number of freedoms is larger than the number
of observations. In this paper, a novel edge-preserving decomposition-based method is introduced to estimate transmission map for a haze image so as to design a single image haze removal algorithm from the Koschmiedars law without using any prior. In particular, weighted guided image filter is adopted to decompose simplified dark channel of the haze image into a base layer and a detail layer. The transmission map is estimated from the base layer, and it is applied to restore the haze-free image. The experimental results on different types of images, including haze images, underwater images, and normal images without
haze, show the performance of the proposed algorithm.
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