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논문검색

Image Completion Using Similarity Analysis and Transformation

원문정보

Mang Xiao, Guangyao Li, Yunlan Tan, Jie Qin

보안공학연구지원센터(IJMUE) International Journal of Multimedia and Ubiquitous Engineering Vol.10 No.4 2015.04 pp.193-204
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초록

영어

Image completion is aim to fill the missing regions in images. A robust completion technique using similarity analysis and transformation is proposed to address this problem. Firstly, in order to decrease the search space of patches, random mapping method is used to analyze texture regions which have similar structure and texture with damaged regions. Secondly, geometric and photometric transformations of image are adopted to find the best patches. Thirdly, increasing the accuracy of the structure propagation, a priority calculation method is optimized based on confidence factor and edge information. Finally, a number of examples on real and synthetic images show the effectiveness of our algorithm for image completion.

목차

Abstract
 1. Introduction
 2. Prerequisite Knowledge of Image Completion
 3. Our Algorithm
  3.1. Similarity Analysis
  3.2. Transformation
  3.3. Patch Priorities
  3.4. Searching Best Match-patch
 4. Experimental Results and Analysis
 5. Conclusions
 Acknowledgements
 References

키워드

저자정보

  • Mang Xiao College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China
  • Guangyao Li College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China
  • Yunlan Tan College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China, School of Electronic and Information Engineering, Jinggangshan University, Ji’an, Jiangxi 343009, China
  • Jie Qin College of Electronic and Information Engineering, Tongji University, Shanghai 201804, China

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