Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement
KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Electrical Engineering Program
Visual Computing Center (VCC)
Online Publication Date2019-03-08
Print Publication Date2019-01
Permanent link to this recordhttp://hdl.handle.net/10754/631828
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AbstractColor 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.
CitationProtasiuk R, Bibi A, Ghanem B (2019) Local Color Mapping Combined with Color Transfer for Underwater Image Enhancement. 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). Available: http://dx.doi.org/10.1109/WACV.2019.00157.
SponsorsThis work was supported by the King Abdullah University of Science and Technology Office of Sponsored Research.
Conference/Event name19th IEEE Winter Conference on Applications of Computer Vision, WACV 2019