Fog reduces contrast and thus the visibility of vehicles and obstacles for drivers. Each year, this causes traffic accidents. Fog is caused by a high concentration of very fine water droplets in the air. When light hits these droplets, it is scattered and this results in a dense white background, called the atmospheric veil. As pointed in [1], Advanced Driver Assistance Systems (ADAS) based on the display of defogged images from a camera may help the driver by improving objects visibility in the image and thus may lead to a decrease of fatality and injury rates. In the last few years, the problem of single image defogging has attracted attention in the image processing community. Being an ill-posed problem, several methods have been proposed. However, a few among of these methods are dedicated to the processing of road images. One of the first exception is the method in [2], [1] where a planar constraint is introduced to improve the restoration of the road area, assuming an approximately flat road. The single image defogging problem being ill-posed, the choice of the Bayesian approach seems adequate to set this problem as an inference problem. A first Markov Random Field (MRF) approach of the problem has been proposed recently in [3]. However, this method is not dedicated to road images. In this paper, we propose a novel MRF model of the single image defogging problem which applies to all kinds of images but can also easily be refined to obtain better results on road images using the planar constraint. A comparative study and quantitative evaluation with several state-of-the-art algorithms is presented. This evaluation demonstrates that the proposed MRF model allows to derive a new algorithm which produces better quality results, in particular in case of a noisy input image.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Markov Random Field model for single image defogging


    Contributors:


    Publication date :

    2013-06-01


    Size :

    2873335 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    MARKOV RANDOM FIELD MODEL FOR SINGLE IMAGE DEFOGGING

    Caraffa, L. / Tarel, J. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2013


    Auxiliary defogging device, vehicle-mounted defogging system, defogging and anti-fogging method and automobile

    NIE BOQI / CHEN ZHEN / LYU XUJUN et al. | European Patent Office | 2016

    Free access

    DEFOGGING SYSTEM

    KOCHI TAKETO / NAKAJIMA MASAKI | European Patent Office | 2022

    Free access

    DEFOGGING DEVICE

    SASAKI HIROYUKI | European Patent Office | 2020

    Free access

    DEFOGGING SYSTEM

    ISHIDA OSAMU | European Patent Office | 2023

    Free access