Jiaxi He

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This paper presents a new convex optimization method for the image dehazing problem. It is based on reformulation of the hazed image model to solve the bilinearly coupled hazed image and light transmission distribution term as a single optimization variable. This resolves the nonconvex difficulty of the original problem and is sufficient for straightforward(More)
This paper presents a novel and fast linear regularized optimization algorithm for single image dehazing, which is based on two statistical observations. One observation is that images under hazy conditions usually exhibit low contrast and the other is that the spatial distribution of distances from scene objects to the camera is piece wise smooth. In(More)
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