Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement

Rafal Protasiuk, Adel Bibi, Bernard Ghanem

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations


Color correction and color transfer methods have gained a lot of attention in the past few years to circumvent color degradation that may occur due to various sources. In this paper, we propose a novel simple yet powerful strategy to profoundly enhance color distorted underwater images. The proposed approach combines both local and global information through a simple yet powerful affine transform model. Local and global information are carried through local color mapping and color covariance mapping between an input and some reference source, respectively. Several experiments on degraded underwater images demonstrate that the proposed method performs favourably to all other methods including ones that are tailored to correcting underwater images by explicit noise modelling.
Original languageEnglish (US)
Title of host publication2019 IEEE Winter Conference on Applications of Computer Vision (WACV)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages7
ISBN (Print)9781728119755
StatePublished - Mar 8 2019

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by the King Abdullah University of Science and Technology Office of Sponsored Research.


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