首页    期刊浏览 2025年07月10日 星期四
登录注册

文章基本信息

  • 标题:Image Restoration Based on L1 + L1 Model
  • 本地全文:下载
  • 作者:Ruihua Liu
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2014
  • 卷号:7
  • 期号:5
  • 页码:273-286
  • DOI:10.14257/ijsip.2014.7.5.24
  • 出版社:SERSC
  • 摘要:In this paper, we firstly propose a new image restoration model including non-smooth 1 - norm data-fidelity term and non-smooth 1 -norm regularization term based on the bilateral total variation regularization. Secondly, we prove the existence of minimal solutions of our proposed energy functional model. Thirdly, we consider the convergence of the discrete numerical algorithm, and obtain that the limit point of the solution sequence is the minimal point of our proposed energy functional. Finally, we give some experimental simulation results in the case of the single noisy image without blurring, multiple different noisy images without blurring, single noisy image with blurring, and multiple different noisy images with different blurring, respectively. The restoration results show our model works effectively.
  • 关键词:image restoration; bilateral total variation; minimal solution; mathematical ; induction method
国家哲学社会科学文献中心版权所有