On the Duality between Retinex and Image Dehazing

Authors: Galdran, A., Bria, A., Alvarez-Gila, A., Vazquez-Corral, J. and Bertalmio, M.

Journal: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Pages: 8212-8221

ISSN: 1063-6919

DOI: 10.1109/CVPR.2018.00857

Abstract:

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.

http://eprints.bournemouth.ac.uk/35076/

Source: Scopus

On the Duality Between Retinex and Image Dehazing

Authors: Galdran, A., Alvarez-Gila, A., Bria, A., Vazquez-Corral, J., Bertalmio, M. and IEEE

Journal: 2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)

Pages: 8212-8221

ISSN: 1063-6919

DOI: 10.1109/CVPR.2018.00857

http://eprints.bournemouth.ac.uk/35076/

Source: Web of Science (Lite)

On the Duality Between Retinex and Image Dehazing.

Authors: Galdran, A., Alvarez-Gila, A., Bria, A., Vazquez-Corral, J. and Bertalmío, M.

Journal: CoRR

Volume: abs/1712.02754

http://eprints.bournemouth.ac.uk/35076/

Source: DBLP

On the Duality Between Retinex and Image Dehazing

Authors: Galdran, A., Alvarez-Gila, A., Bria, A., Vazquez-Corral, J. and Bertalmio, M.

Abstract:

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.

http://eprints.bournemouth.ac.uk/35076/

Source: arXiv