Year: 2010
International Journal of Numerical Analysis and Modeling, Vol. 7 (2010), Iss. 4 : pp. 700–717
Abstract
In this paper, we first extend a simple algorithm proposed by Jia et al. [16] to color/vectorial images, and then apply the vectorial algorithm to some variational models for image restoration problems including color image denoisings with the red-green-blue (RGB) and chromaticity-brightness (CB) color representations, CB based colorization and image inpainting. The variational models are all total variation (TV)-based. The proposed vectorial algorithm is simple and straightforward to implement. Some numerical experiments show that it is fast and efficient.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2010-IJNAM-747
International Journal of Numerical Analysis and Modeling, Vol. 7 (2010), Iss. 4 : pp. 700–717
Published online: 2010-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 18
Keywords: Image restoration vectorial TV model split Bregman iteration color denoising CB based colorization TV-based inpainting.