Abstract
Poor visibility in foggy condition is a serious problem for computer vision applications. Most computer vision applications suppose that the input images should have clear visibility but due to foggy conditions, images lose the contrast and color-fidelity, and, therefore, improving visibility is an inevitable task. This paper presents a newly created SAMEER–TU database consisting of 5390 images captured in foggy as-well-as, in clear condition with useful ground truth information. This paper also describes a method towards enhancing the visibility of the foggy images. Finally for verifying robustness of the method, qualitative assessment evaluation is performed as a contributory step.
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