Spatially adaptive image defogging using edge analysis and gradient-based tone mapping

In this paper, we present a spatially ad aptive approach to image d efogging based on edge analysis and gradient-based tone mapping. We adaptively select an atmospheric lightt hrough unde sired fog or cloud in the dark channel prior according to the edge information of an image and generate a transmission map based on the selected a tmospheric light. We a daptively remove the fog using the estimated transmission map and apply tone mapping using gradient values of the image. The proposed algorithm can overcome the problem of local color distortion, which is known to be the limitations of existing defogging techniques. Experimental results demonstrate that the proposed algorithm can i ncrease t echnical co mpetitiveness of consumer i maging devices by removing atmospheric artifacts caused by fog, clouds, smoke, and dust to name a few.