Evaluation of Fog Reduction Algorithms for Photogrammetric Applications in Agriculture

Abstract

Haze is a natural scaterring effect of light that can blur images, lowering their quality and difficulting the scene analysis. In this paper, several state-of-the-art dehazing algorithms are evaluated through a subjective method for image quality assesment. The Dark Channel Prior algorithm, which resulted the best option within the evaluated algorithms, was further optimized by manipulating color spaces before its application in order to achieve a better reconstruction of the images.