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.
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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.
Perspectives
We proposed a different perspective to calculate transmission map, which less computational complex as compared to previously proposed methods.
Zahid Tufail
Institute of Space Technology
Read the Original
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),
DOI: 10.1049/iet-ipr.2018.6485.
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