Markov Random Field for combined defogging and stereo reconstruction
Abstract
Stereo reconstruction serves many outdoor applications, and thus sometimes faces difficulties with foggy weather. However, fog provides depth cues for far away objects. By taking advantages of both stereo and fog cues, stereo reconstruction in fog can be improved. We propose a Markov Random Field model for this problem. The proposed model is tested on synthetic images and it shows that improved results can be achieved on both stereo reconstruction and visibility restoration.
Reference
@Conference{jpt-siamis18,
author = {Tarel, J.-P. and Caraffa, L.},
title = {Markov Random Field for combined defogging and stereo reconstruction},
date = {June 7},
address = {Bologna, Italy},
booktitle = {SIAM Conference on Imaging Science (SIAM IS'18)},
note = {Invited talk to MS45 Mathematical techniques for bad visibility restoration},
year = {2018},
url = {http://perso.lcpc.fr/tarel.jean-philippe/publis/siamis18.html}
}
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