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结合局部与非局部的图像复原方法

李俊英 肖升

计算机应用研究Issue(5):1532-1535,4.
计算机应用研究Issue(5):1532-1535,4.DOI:10.3969/j.issn.1001-3695.2015.05.064

结合局部与非局部的图像复原方法

Combining local and nonlocal method for image restoration

李俊英 1肖升2

作者信息

  • 1. 湖南第一师范学院 信息科学与工程系,长沙 410205
  • 2. 武汉大学 计算机学院,武汉 430079
  • 折叠

摘要

Abstract

In order to recover the details better, this paper proposed a new image restoration method, which combined the lo-cal total variation (LTV) and the nonlocal total variation (NLTV) models.First, it extracted the details accurately from the image.Then, the method applied the NLTV model only on the details, and applied the LTV model only on the residual image components.The proposed method, which used the advantages of both the LTV and NLTV models, could recover the image details better.A large number of experimental results indicate that the proposed method outperforms several recent image resto-ration methods, not only the subjective vision has the betterment obviously, but also the PSNR improves between 0.11 dB and 2.28 dB.

关键词

图像复原/图像细节/非局部全变差/局部全变差

Key words

image restoration/image details/nonlocal total variation/local total variation

分类

信息技术与安全科学

引用本文复制引用

李俊英,肖升..结合局部与非局部的图像复原方法[J].计算机应用研究,2015,(5):1532-1535,4.

基金项目

国家自然科学基金资助项目(61070083) (61070083)

计算机应用研究

OA北大核心CSCDCSTPCD

1001-3695

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