FOG REMOVAL
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Analysis of Prior Based Fog Removal Methods
Abstract: Fog is defined as the weather condition in which visibility becomes less than 1000 m. Fog is caused due to plenty of reasons like bad weather, pollution, drizzle etc. Images degraded by fog have poor contrast and colour allegiance. The efficiency of image-based applications highly degrades due to foggy input images. So fog removal of images is a necessary task in computer vision applications and computational photography. This paper highlights …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 3, 2018 · pp. 29–37 Read article
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A Brief Review on Image Restoration of Foggy Image with its Techniques
Abstract: Fog removal also known as visibility restoration refers to the different method that aims to reduce or remove the degradation that has occurred while the digital image was being obtained. The degradation may be due to various factors like relative object-camera motion, blur due to camera miss-focus, relative atmospheric turbulence and others. This paper has focused on the various fog removal techniques like dark channel prior (DCP), CLAHE, wiener filtering, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 45–51 Read article