Nontexture inpainting by curvature-driven diffusions

被引：937
|
作者：
Chan, TF [1 ]
机构：
[1] Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90095 USA
[2] Univ Minnesota, Sch Math & IMA, Minneapolis, MN 55455 USA
来源：
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION | 2001年 / 12卷 / 04期
基金：
美国国家科学基金会;
关键词：
D O I：
10.1006/jvci.2001.0487
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Inpainting is an image interpolation problem, often referring to interpolations over large-scale missing domains, In this paper, guided by the connectivity principle of human visual perception, we introduce a nonlinear PDE inpainting model based upon curvature-driven diffusions for nontexture images. This third-order PDE model improves the second-order total variation inpainting model introduced earlier by Chan and Shen (SIAM J. Appl. Math., in press, 200 1). Computational schemes and digital examples are given. (C) 2001 Elsevier Science.
引用
收藏
页码：436 / 449
页数：14
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