Publication

Abstract : Images and video captured using camera systems can be seriously degraded by the effect of weather conditions such as fog and haze. Image restoration of true scenes from foggy weather conditions can make a significant difference in many computer vision algorithms such as tracking, surveillance and detection. The main aim of this paper is to develop an Adaptive Hybrid Image Defogging (AHID) algorithm that helps in image restoration with better quality for defogging images under high foggy environments. Combined restoration algorithm consists of image enhancement techniques and multi-level fusionbased defogging algorithms. The adaptive hybrid algorithm consists of many image enhancement techniques with a Dark Channel Prior (DCP) Algorithm to estimate the amount of fog present in the images and atmospheric light as well. The fusion-based defogging algorithm will reduce the remaining artefacts present in the hazy image model. Experiments were conducted with various climatic conditions and the results are summarized in the paper.