Wavelet Shrinkage based Variational Image Decomposition Model

摘要：

　　A new class of variational models based on Besov spaces Bs1.1 (s>0) and homogeneous Besov space E=B-1xx for image decomposition is proposed.The proposed models can be regarded as generalizations of Aujol-Chambolle model.The associated minimizers of variational problems can be expressed by applying different shrinkage functions which depend on the wavelet scale to each wavelet coefficient.The wavelet based treatment simplifies computation of this class of variational models.Finally,we present numerical results on denoising of both real and remote sensing images.

关键词： functional minimization Besov spaces image decomposition wavelet shrinkage

作者: Min Li Xiaoli Sun Chen Xu

作者单位: College of Mathematics and Computational ScienceShenzhen University, Shenzhen, China

会议类型: 国际会议

会议名称: 2012 2nd international Conference on Materials Science and Information Technology(2012第二届材料科学与信息技术国际会议)(MSIT2012)

会议地点: 西安

会议语种:英文

页码: 1021-1025

在线出版日期: 2012-08-24（万方平台首次上网日期，不代表论文的发表时间）