A FAST ALGORITHM FOR VECTORIAL TV-BASED IMAGE RESTORATION

被引:0
|
作者
Dong, Fanfang [1 ]
Yang, Jianbin [1 ]
Liu, Chunxiao [1 ]
机构
[1] Zhejiang Univ, Ctr Math Sci, Hangzhou 310027, Zhejiang, Peoples R China
关键词
Image restoration; vectorial TV model; split Bregman iteration; color denoising; CB based colorization; TV-based inpainting; TOTAL VARIATION MINIMIZATION; BLIND DECONVOLUTION; REGULARIZATION; MODELS;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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.
引用
收藏
页码:700 / 717
页数:18
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