计算机工程与应用2011，Vol.47Issue(17)：181-184,4.DOI:10.3778/j.issn.1002-8331.2011.17.050
Besov空间下迭代全变差正则化的图像恢复模型
Iterative total variation regularization for image restoration in Besov spaces
摘要
Abstract
An iterative regularization procedure in Besov spaces for image restoration is generalized. By using a suitable sequence of penalty parameters,the issue of solvability of minimization problems arising in each step of the iterative procedure is solved. The generalized iterative regularization procedure can be considered as a combination of soft-thresholding and hard-thresholding. Moreover, an effective stopping criteria and convergence result for the procedure are obtained. The numerical results indicate that the iteration procedure yields high-quality reconstructions and converges faster than the Xu-Osher method.关键词
迭代正则化/全变差/Bregman距离/Besov空间Key words
iterative regularization/ total variation/Bregman distance/ Besov spaces分类
信息技术与安全科学引用本文复制引用
江玲玲,殷海青..Besov空间下迭代全变差正则化的图像恢复模型[J].计算机工程与应用,2011,47(17):181-184,4.基金项目
国家自然科学基金(the National Natural Science Foundation of China under Grant No.60971132) （the National Natural Science Foundation of China under Grant No.60971132）
中国石油大学(华东)博士科研启动经费(No.Y090801). （华东）
