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

来源：

INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING | 2010年 / 7卷 / 04期

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

页码：700 / 717

页数：18

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