计算机工程与应用 ›› 2011, Vol. 47 ›› Issue (4): 205-207.DOI: 10.3778/j.issn.1002-8331.2011.04.057

• 图形、图像、模式识别 • 上一篇    下一篇

改进的Criminisi图像修复算法

魏 欣,蒋华伟   

  1. 河南工业大学 信息科学与工程学院,郑州 450001
  • 收稿日期:2010-03-25 修回日期:2010-06-23 出版日期:2011-02-01 发布日期:2011-02-01
  • 通讯作者: 魏 欣

Improved Criminisi image restoration algorithm

WEI Xin,JIANG Huawei   

  1. College of Information Science and Engineering,Henan University of Technology,Zhengzhou 450001,China
  • Received:2010-03-25 Revised:2010-06-23 Online:2011-02-01 Published:2011-02-01
  • Contact: WEI Xin

摘要: 针对Criminisi等人提出的基于样本的图像修复算法在确定匹配块大小时存在的一些不足,提出了一种改进的基于样本的图像修复算法。该算法根据样本的纹元大小确定其匹配块大小,使得匹配更为准确,并利用多级合成提高修复效果,弥补了Criminisi算法修复时出现的结构断裂缺陷。实验结果表明,该方法在修复强结构纹理图像时有很好的效果。

关键词: 样图, 纹理合成, 图像修复, 纹元, 多级合成

Abstract: For the image inpainting algorithm based on examplar,proposed by Criminisi and his partner,has some deficiencies in determining matching block size,this paper presents an improved algorithm.To obtain a more accurate match,this algorithm determines the matching block size according to the size of texel sample,and uses multi-level synthesis method to improve the repair result,it makes up the deficiency of structural fracture during Criminisi algorithm.The experiment results show this method is effective in repair structured texture images.

Key words: sample, texture synthesis, image inpainting, texel, multi-level synthesis

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