Exemplar-based Image Inpainting using Structure Tesnor

被引：0

作者：

Liu Kui ^{[1
]}

Tan Jieqing ^{[1
]}

Su Benyue

机构：

[1] Hefei Univ Technol, Sch Comp & Informat, Hefei 230009, Peoples R China

来源：

PROCEEDINGS OF THE 2013 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER SCIENCE AND ELECTRONICS INFORMATION (ICACSEI 2013) | 2013年 / 41卷

关键词：

Image inpainting; texture synthesis; exemplar; structure tensor; structural similarity (SSIM); DIFFUSION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Exemplar-based image inpainting techniques face two main problems. One is the decision of filling-in order which has a strong impact on image inpainting effect. Another problem is greedy search process while searching for the best exemplar patch. This paper presents a robust method for exemplar-based image inpainting based on structure tensor. The novel priority function is redefined. Experimentation results show that our image inpainting method improves the quality of image inpainting compared with the conventional exemplar-based image completion algorithms.

引用

页码：619 / 623

页数：5

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