RT Conference Proceedings
T1 On the Duality Between Retinex and Image Dehazing
A1 Galdran, Adrian
A1 Bria, Alessandro
A1 Alvarez-Gila, Aitor
A1 Vazquez-Corral, Javier
A1 Bertalmío, Marcelo
AB Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog. Retinex is a color vision model mimicking the ability of the Human Visual System to robustly discount varying illuminations when observing a scene under different spectral lighting conditions. Retinex has been widely explored in the computer vision literature for image enhancement and other related tasks. While these two problems are apparently unrelated, the goal of this work is to show that they can be connected by a simple linear relationship. Specifically, most Retinex-based algorithms have the characteristic feature of always increasing image brightness, which turns them into ideal candidates for effective image dehazing by directly applying Retinex to a hazy image whose intensities have been inverted. In this paper, we give theoretical proof that Retinex on inverted intensities is a solution to the image dehazing problem. Comprehensive qualitative and quantitative results indicate that several classical and modern implementations of Retinex can be transformed into competing image dehazing algorithms performing on pair with more complex fog removal methods, and can overcome some of the main challenges associated with this problem.
PB IEEE Computer Society
SN 978-1-5386-6420-9
SN 9781538664209
YR 2018
FD 2018-12-14
LA eng
NO Galdran , A , Bria , A , Alvarez-Gila , A , Vazquez-Corral , J & Bertalmío , M 2018 , On the Duality Between Retinex and Image Dehazing . in unknown . 1063-6919 , IEEE Computer Society , pp. 8212-8221 , 31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018 , Salt Lake City , United States , 18/06/18 . https://doi.org/10.1109/CVPR.2018.00857
NO conference
NO Publisher Copyright: © 2018 IEEE.
DS TECNALIA Publications
RD 1 jul 2024