STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

Analysis of Prior Based Fog Removal Methods

  1. manju .
  2. Neelam Turk

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 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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