Image Inpainting Algorithm Based on Adaptive Template Direction

被引：0

作者：

Wu, Xuewen ^{[1
]}

Liu, Na ^{[1
]}

Song, Yunyun ^{[1
]}

机构：

[1] Hohai Univ, Comp & Informat Coll, Nanjing, Jiangsu, Peoples R China

来源：

2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3 | 2013年

关键词：

image inpainting; Criminisi algotirhm; template direction; exemplar match;

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：

On the basis of exemplar-based inpaiting, an adaptive template direction algorithm was proposed to solve the problem that Criminisi algorithm easily leads to mismatching problems in the process of searching the best match patch. The selection of the direction of the template matching may raise the success rate of finding the best match patch and prevent mismatches. Experiments show that this algorithm is effective in improving the image inpainting effect.

引用

页码：374 / 378

页数：5

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