Mejoramiento de visibilidad bajo condiciones de nubosidad (Improvement of visibility under foggy conditions)

Juan Andrade (juan.andrade@ucuenca.edu.ec)1


1Universidad de Cuenca

This paper appears in: Revista IEEE América Latina

Publication Date: Oct. 2017
Volume: 15,   Issue: 10 
ISSN: 1548-0992


Abstract:
Light scattering produced for bad weather conditions produces outdoor images with poor contrast and faded colors, these effects can be critical in applications such as video surveillance, driving assistance or autonomous navigation. This article introduces a novel algorithm to restore the contrast of images under adverse weather conditions e.g.; fog, mist or haze. The proposed method combines several techniques in order to provide a fast algorithm able to work with color as well as gray images. Although other deweathering methods require multiple images of the scene or information about the weather conditions or the scene structure the proposed method only requires a single image of the foggy scene and assumes heterogeneous atmospheric conditions which is a common feature in images affected for weather conditions. Experiment results on real-world datasets validate the effectiveness of the proposed method.

Index Terms:
Dehaze, foggy images, black channel, contrast enhancement, depth estimation   


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