Image acquisition is usually vulnerable to bad weathers, like haze, fog and smoke. Haze
removal, namely dehazing has always been a great challenge in many fields. This paper
proposes an efficient and fast dehazing algorithm for addressing transmission map
misestimation and oversaturation commonly happening in dehazing. We discover that the
transmission map is commonly misestimated around the edges where grayscale change
abruptly. These Transmission MisEstimated (TME) edges further result in halo artifacts in …