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基于二阶广义全变差正则项的模糊图像恢复算法

任福全 邱天爽

任福全, 邱天爽. 基于二阶广义全变差正则项的模糊图像恢复算法. 自动化学报, 2015, 41(6): 1166-1172. doi: 10.16383/j.aas.2015.c130616
引用本文: 任福全, 邱天爽. 基于二阶广义全变差正则项的模糊图像恢复算法. 自动化学报, 2015, 41(6): 1166-1172. doi: 10.16383/j.aas.2015.c130616
REN Fu-Quan, QIU Tian-Shuang. Blurred Image Restoration Method Based on Second-order Total Generalized Variation Regularization. ACTA AUTOMATICA SINICA, 2015, 41(6): 1166-1172. doi: 10.16383/j.aas.2015.c130616
Citation: REN Fu-Quan, QIU Tian-Shuang. Blurred Image Restoration Method Based on Second-order Total Generalized Variation Regularization. ACTA AUTOMATICA SINICA, 2015, 41(6): 1166-1172. doi: 10.16383/j.aas.2015.c130616

基于二阶广义全变差正则项的模糊图像恢复算法

doi: 10.16383/j.aas.2015.c130616
基金项目: 

国家自然科学基金(61172108, 61139001, 81241059), 国家科技支撑计划基金(2012BAJ18B06) 资助

详细信息
    作者简介:

    任福全 大连理工大学电子信息与电气工程学部博士研究生. 2010 年获得大连理工大学数学系硕士学位. 主要研究方向为图像恢复与重建.E-mail: renfuquan@163.com

    通讯作者:

    邱天爽 大连理工大学电子信息与电气工程学部教授. 主要研究方向为信号处理与医学图像处理. E-mail: qiutsh@dlut.edu.cn

Blurred Image Restoration Method Based on Second-order Total Generalized Variation Regularization

Funds: 

Support by National Natural Science Foundation of China (61172108, 61139001, 81241059) and the Science and Technology Support Program of China (2012BAJ18B06)

  • 摘要: 针对图像去模糊问题, 采用二阶广义全变差作为修复图像的正则项构建恢复模型, 并针对重建模型的高阶与非光滑特性, 给出了基于分裂Bregman 迭代的快速算法. 实验结果表明, 该模型和数值算法能够较好地恢复被噪声和模糊污染的图像, 同时可以很好地保留图像的纹理和细节信息.
  • [1] Lucy B. An iterative technique for the rectification of observed distributions. Astronomical Journal, 1974, 79(6): 745-754
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  • 被引次数: 0
出版历程
  • 收稿日期:  2013-07-01
  • 修回日期:  2015-01-30
  • 刊出日期:  2015-06-20

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