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In this paper, we propose a general algorithm to removing haze from single images using total variation minimization. Our approach stems from two simple yet fundamental observations about haze-free images and the haze itself. First, clear-day images usually have stronger contrast than images plagued by bad weather; and second, the variations in natural atmospheric veil, which highly depends on the...
In this paper, we present a new algorithm to remove haze from a single image. The proposed algorithm extracts transmission iteratively under the assumption that large-scale chromaticity variations are due to transmission while small-scale luminance variations are due to scene albedo. A nonlinear edge-preserving filter is introduced to incrementally refine subtle transmission map while still keeping...
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