Inpainting of binary images using the Cahn-Hilliard equation

被引：308

作者：

Bertozzi, Andrea L. ^{[1
]}

Esedoglu, Selim

Gillette, Alan

机构：

[1] Univ Calif Los Angeles, Dept Math, Los Angeles, CA 90095 USA

[2] Univ Michigan, Dept Math, Ann Arbor, MI 48109 USA

来源：

IEEE TRANSACTIONS ON IMAGE PROCESSING | 2007年 / 16卷 / 01期

基金：

美国国家科学基金会;

关键词：

binary images; Cahn-Hilliard equation; image inpainting; super-resolution;

D O I：

10.1109/TIP.2006.887728

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Image inpainting is the filling in of missing or damaged regions of images using information from surrounding areas. We outline here the use of a model for binary inpainting based on the Cahn-Hilliard equation, which allows for fast, efficient inpainting of degraded text, as well as super-resolution of high contrast images.

引用

页码：285 / 291

页数：7

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