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Lecture Notes in Computer Science
Images captured under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image structure under the haze layer and recovering vivid colors out of a single image remains a challenging task, since the degradation is depth-dependent and conventional methods are unable to handle this problem. We propose to extend a well-known perception-inspired variational framework  for thedoi:10.1007/978-3-319-16199-0_18 fatcat:nzv42pjcwbdjnmz4alv6wjrfl4