首页 | 本学科首页   官方微博 | 高级检索  
     

去除椒盐噪声的交替方向法
引用本文:薛倩,杨程屹,王化祥.去除椒盐噪声的交替方向法[J].自动化学报,2013,39(12):2071-2076.
作者姓名:薛倩  杨程屹  王化祥
作者单位:1.中国民航大学航空自动化学院 天津 300300;
基金项目:国家自然科学基金(61102097,61102096),天津市科技支撑计划项目(11ZCGHHZ00700),天津市自然科学基金(11JCYBJC06900)资助
摘    要:传统图像去噪法基于有用信息和噪声频率特性的差别实现去噪,实际中,有用信息和噪声在频带上往往存在重叠,因此,传统去噪法在抑制噪声的同时,往往损失了细节信息,使图像变模糊. 本文引入稀疏与低秩矩阵分解模型描述图像去噪问题,基于该模型,采用交替方向法(Alternating direction method,ADM)得到复原图像. 实验证明该方法比常用的中值滤波法更有效地抑制了椒盐噪声,同时更好地保持了原始图像的细节信息.

关 键 词:图像去噪    凸优化    l1范数    核范数    交替方向法
收稿时间:2012-07-03

Alternating Direction Method for Salt-and-pepper Denoising
XUE Qian,YANG Cheng-Yi,WANG Hua-Xiang.Alternating Direction Method for Salt-and-pepper Denoising[J].Acta Automatica Sinica,2013,39(12):2071-2076.
Authors:XUE Qian  YANG Cheng-Yi  WANG Hua-Xiang
Affiliation:1.College of Aeronautical Automation, Civil Aviation University of China, Tianjin 300300;2.School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072
Abstract:Conventional image denoising algorithms attempt to remove noise on the basis of spectral separation between signal and noise. However, in practice, the spectra of signal and noise usually overlap. As a result, conventional denoising algorithms often suppress noises at the cost of losing details in fine texture and causing blurring in output images. This paper formulates the image denoising problem by adopting a new model of sparse and low-rank matrix decomposition. Based on this model, the alternating direction method (ADM) is utilized to obtain the restored image. Our experiment demonstrates that the ADM suppresses salt-and-pepper noise more efficiently and better preserves detail information in the input image, as compared to the commonly used median filtering method.
Keywords:Image denoising  convex optimization  l1-norm  nuclear norm  alternating direction method (ADM)
点击此处可从《自动化学报》浏览原始摘要信息
点击此处可从《自动化学报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号