Bregman Approach to Single Image De-Raining

Szirmay-Kalos, Laszlo; Tóth, Márton

Bregman Approach to Single Image De-Raining

Files

033-036.pdf (4.26 MB)

Date

2021

Authors

Szirmay-Kalos, Laszlo
Tóth, Márton

Publisher

The Eurographics Association

Abstract

Surveillance cameras are expected to work also in bad visibility conditions, which requires algorithmic solutions to improve the captured image and to eliminate image degradation caused by these weather conditions. Algorithms for such tasks belong to the field of computational photography and have been successful in eliminating haze, fog, motion blur, etc. This paper presents a simple algorithm to suppress rain or snow from single images. The algorithm uses energy minimization, and we propose a novel data term and a Bregman distance based regularization term reflecting the particular properties of precipitation.

        @inproceedings{10.2312:egs.20211017
,
booktitle = {Eurographics 2021 - Short Papers
},
editor = {Theisel, Holger and Wimmer, Michael
},
title = {{Bregman Approach to Single Image De-Raining
}},
author = {Szirmay-Kalos, Laszlo and 
Tóth, Márton
},
year = {2021
},
publisher = {The Eurographics Association
},
ISSN = {1017-4656
},
ISBN = {978-3-03868-133-5
},
DOI = {10.2312/egs.20211017
}
}