首页> 外文期刊>Applied and Computational Harmonic Analysis >Split-Bregman iteration for framelet based image inpainting
【24h】

Split-Bregman iteration for framelet based image inpainting

机译:基于Framelet的图像修补的Split-Bregman迭代

获取原文
获取原文并翻译 | 示例

摘要

Image inpainting plays a significant role in image processing and has many applications. Framelet based inpainting methods were introduced recently by Cai et al. (2007, 2009) [6,7,9] under an assumption that images can be sparsely approximated in the framelet domain. By analyzing these methods, we present a framelet based inpainting model in which the cost functional is the weighted e~1 norm of the framelet coefficients of the underlying image. The split-Bregman iteration is exploited to derive an iterative algorithm for the model. The resulting algorithm assimilates advantages while avoiding limitations of the framelet based inpainting approaches in Cai et al. (2007, 2009) |6,7,9], The convergence analysis of the proposed algorithm is presented. Our numerical experiments show that the algorithm proposed here performs favorably.
机译:图像修复在图像处理中起着重要作用,并具有许多应用。 Cai等人最近介绍了基于框架的修复方法。 (2007,2009)[6,7,9]假设图像可以在小框架域中被稀疏地近似。通过分析这些方法,我们提出了一种基于框架的修复模型,其中代价函数是基础图像的框架系数的加权e〜1范数。利用split-Bregman迭代来得出模型的迭代算法。所得算法吸收了优势,同时避免了Cai等人基于帧的修补方法的局限性。 (2007,2009)| 6,7,9],提出了该算法的收敛性分析。我们的数值实验表明,本文提出的算法性能良好。

著录项

  • 来源
    《Applied and Computational Harmonic Analysis》 |2012年第1期|p.145-154|共10页
  • 作者

    Qia Li; Lixin Shen; Lihua Yang;

  • 作者单位

    School of Mathematics and Computational Sciences, Sun Yat-sen University, Guangzhou 510275, PR China;

    School of Mathematics and Computational Sciences, Sun Yat-sen University, Guangzhou 510275, PR China, Department of Mathematics, Syracuse University, Syracuse, NY 13244, United States;

    School of Mathematics and Computational Sciences, Sun Yat-sen University, Guangzhou 510275, PR China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    bregman iteration; framelet; inpainting;

    机译:bregman迭代框架修补;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号