A fast image dehazing method that does not introduce color artifacts

Vazquez-Corral, Javier, Galdran, Adrian, Cyriac, Praveen and Bertalmío, Marcelo (2020) A fast image dehazing method that does not introduce color artifacts. Journal of Real-Time Image Processing, 17 (3). pp. 607-622. ISSN 1861-8200

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Abstract

We propose a method for color dehazing with four main characteristics: it does not introduce color artifacts, it does not depend on inverting any physical equation, it is based on models of visual perception, and it is fast, potentially real time. Our method converts the original input image to the HSV color space and works in the saturation and value domains by: (1) reducing the value component via a global constrained histogram flattening; (2) modifying the saturation component in consistency with the previous reduced value; and (3) performing a local contrast enhancement in the value component. Results show that our method competes with the state-of-the-art when dealing with standard hazy images, and outperforms it when dealing with challenging haze cases. Furthermore, our method is able to dehaze a FullHD image on a GPU in 90 ms.

Item Type:	Article
Additional Information:	Acknowledgements: This work has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement number 761544 (project HDR4EU) and under grant agreement number 780470 (project SAUCE), and by the Spanish government and FEDER Fund, grant ref. TIN2015-71537-P (MINECO/FEDER,UE). JVC was supported by the Spanish government, grant ref. IJCI-2014-19516. The NVIDIA Titan X used for this research was donated by the NVIDIA corporation.
Uncontrolled Keywords:	color image processing,image dehazing,vision models,information systems ,/dk/atira/pure/subjectarea/asjc/1700/1710
Faculty \ School:	Faculty of Science > School of Computing Sciences
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	28 Jul 2021 00:44
Last Modified:	22 Sep 2025 09:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/80861
DOI:	10.1007/s11554-018-0816-6

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