首页    期刊浏览 2024年09月16日 星期一
登录注册

文章基本信息

  • 标题:Combination of LLT Model and TV Model for Image Denoising
  • 本地全文:下载
  • 作者:Fengqi Zhou ; Yu Xiao ; Zhigang Yan
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2016
  • 卷号:9
  • 期号:2
  • 页码:393-404
  • DOI:10.14257/ijsip.2016.9.2.33
  • 出版社:SERSC
  • 摘要:Developing a variational model that is capable of restoring both smooth (no edges)and non-smooth (with edges) images is still a valid challenge at the image processing. Inthis paper, we present two methods for image denoising problems based on the use of theLLT model (see [14]) and TV model (see [20]). The idea of our methods is, add thetexture which is separated from the cartoon and noisy, back to the original noisy image orthe texture plus noisy part, and the sum then processed. In order to obtain the texture, wefirst separate texture plus noise from cartoon by LLT model, and then use TV model toremove some noisy from texture. Numerical experiments show our method is able tomaintain some important information such as small details in the image, and at the sametime to get a better visualization.
  • 关键词:Image denoising; staircasing effect; iterated regularization; cartoon and;texture; image decompose
国家哲学社会科学文献中心版权所有