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山东大学学报（理学版） ›› 2017, Vol. 52 ›› Issue (3): 32-37.doi: 10.6040/j.issn.1671-9352.0.2016.445

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基于结构自动匹配的仿射相似破损图像修复

于文静,毕东旭,颜学峰*   

  1. 华东理工大学信息科学与工程学院, 上海 200237
  • 收稿日期:2016-09-18 出版日期:2017-03-20 发布日期:2017-03-20
  • 通讯作者: 颜学峰(1972— ),男,博士,教授,研究方向为过程控制的建模与优化. E-mail:xfyan@ecust.edu.cn E-mail:wenjingyu@ecust.edu.cn
  • 作者简介:于文静(1974— ),女,硕士,讲师,研究方向为图像处理.E-mail:wenjingyu@ecust.edu.cn

The inpainting of affine similarity damaged image based on structure automatic match

YU Wen-jing, BI Dong-xu, YAN Xue-feng*   

  1. School of informationScience and Engineer, East China University of Science and Technology, Shanghai 200237, China
  • Received:2016-09-18 Online:2017-03-20 Published:2017-03-20

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摘要： 基于图像结构稀疏性定义了图像的结构稀疏算子,利用稀疏算子实现原图像到结构图像的映射。根据仿射相似图像具有相同结构的偏移量成稀疏分布的特点,统计相同结构偏移量的分布特征,获得破损区域的最优匹配信息。实验结果表明,该算法可以实现结构的自动匹配,在仿射破损图像的修复中更有效。

关键词: 仿射相似, 结构稀疏算子, 自动匹配

Abstract: Based on the character of image structure sparsity, the image structure sparsity operator was defined which can map from original image to structure image. According to the property of the sparse distribution of the similar structure offsets in affine similarity image, this paper indicates the distribution character of similar structure offsets through scientific statistics, with the objective of adaptively winning the superior matching region to the broken region. Experimental results show that the algorithm can achieve the structure match adaptively and can complete the affine broken image effectively.

Key words: automatic match, structure sparsity operator, affine similarity

中图分类号: 

  • TP391
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