Analysis of Prior Based Fog Removal Methods
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 the literature survey of prior based fog removal techniques such as Dark Channel Prior (DCP), Improved Dark Channel Prior (IDCP) and Colour Attenuation Prior (CAP).
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Jehoiada Jackson', Oluwasanmi Ariyo', Kingsley Acheampong', Maxwell Boakye2, Enoch Frimpong2, Eric Ashalley3, Yunbo Rao'*, Hybrid Single Image Dehazing with Bright Channel and Dark Channel Priors,in 2nd International Conference on Image, Vision and Computing(2017)
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