What is it about?
We propose dark channel based single image defogging technique to estimate atmospheric light which represents the amount of luminance in a scene in the absence of fog. This atmospheric light is used to reconstruct fog free image with a transmission map. Transmission map represents the effect of fog with respect to depth in image. In this paper, we propose four transmission maps to reconstruct the images with different color contrast. Proposed method adaptively selects a transmission map depending upon the fog density to reconstruct image with optimal color contrast.
Photo by Katie Moum on Unsplash
Why is it important?
Previously, dark channel prior based methods were considered to be less effective for images with large sky region, but the proposed method reconstructs better result consistently for such images, independent of the density of the fog. Experimental results show that images reconstructed by proposed method are qualitatively better than the previously proposed methods.
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This page is a summary of: Optimization of Transmission Map for Improved Image Defogging, IET Image Processing, March 2019, the Institution of Engineering and Technology (the IET),
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