An augmented Lagrangian approach to general dictionary learning for image denoising

著录项

• 来源
  《Journal of visual communication & image representation》 |2012年第5期|p.753-766|共14页
• 作者

  Qiegen Liu; Shanshan Wang; Jianhua Luo; Yuemin Zhu; Meng Ye;

  展开▼
• 作者单位

  Department ofBiomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China, Department of Electronic Information Engineering, Nanchang University, Nanchang 330031, China;

  Department ofBiomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China;

  Department ofBiomedical Engineering, Shanghai Jiaotong University, Shanghai 200240, China,College of Aeronautics and Astronautics, Shanghai Jiaotong University, Shanghai 200240, China;

  CREATIS, CNRS I/MR 5220, Inserm U 630, INSA Lyon, University ofLyon 1, Lyon, France;

  Department of Mathematics, Shanghai Jiaotong University, Shanghai 200240, China;

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

  sparse representation; dictionary learning; augmented lagrangian; bregman iterative method; accelerated technique; iteratively reweighted norm; gaussian noise removal; impulse noise removal;

  机译：稀疏表示字典学习;拉格朗日bregman迭代方法;加速技术;反复加权的规范;高斯噪声去除;脉冲噪声去除;