An Improved Exemplar-based Image Inpainting Algorithm

被引：0

作者：

Xiang, Chunyang ^{[1
]}

Duan, Pengsong ^{[2
]}

Cao, Yangjie ^{[2
]}

Shi, Lei ^{[1
]}

机构：

[1] Zhengzhou Univ, Sch Informat Engn, Zhengzhou 450052, Peoples R China

[2] Zhengzhou Univ, Sch Software Technol, Zhengzhou 450052, Peoples R China

来源：

2014 PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE & EDUCATION (ICCSE 2014) | 2014年

关键词：

image inpainting; exemplar block; Difference Method;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Aiming to address deficiencies existing in traditional image inpainting algorithms, an improved image inpainting algorithm, named S-Criminisi, is proposed. Compared with traditional image inpainting algorithms, advantages of S-Criminisi are: (1) Instead of using traditional curve fitting method, S-Criminisi utilizes the Difference Method calculating gradient operator and obtaining curvature of target point; (2) To solve discontinuities of visual images caused by error matching, a new matching method based on matrix similarity is applied by S-Criminisi. Experimental results show that S-Criminisi is more suited for characteristics of digital image and be a better solution for discontinuities of visual images.

引用

页码：770 / 775

页数：6

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