A framelet-based image inpainting algorithm

被引:272
作者
Cai, Jian-Feng [1 ]
Chan, Raymond H. [1 ]
Shen, Zuowei [2 ]
机构
[1] Chinese Univ Hong Kong, Dept Math, Shatin, Hong Kong, Peoples R China
[2] Natl Univ Singapore, Dept Math, Singapore 117543, Singapore
关键词
tight frame; inpainting; convex analysis;
D O I
10.1016/j.acha.2007.10.002
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
Image inpainting is a fundamental problem in image processing and has many applications. Motivated by the recent tight frame based methods on image restoration in either the image or the transform domain, we propose an iterative tight frame algorithm for image inpainting. We consider the convergence of this framelet-based algorithm by interpreting it as an iteration for minimizing a special functional. The proof of the convergence is under the framework of convex analysis and optimization theory. We also discuss the relationship of our method with other wavelet-based methods. Numerical experiments are given to illustrate the performance of the proposed algorithm. (c) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:131 / 149
页数:19
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