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Besov空间的阈值收缩和边缘补偿的图像去噪
引用本文:文乔农,万遂人,刘增力.Besov空间的阈值收缩和边缘补偿的图像去噪[J].计算机应用与软件,2011(9).
作者姓名:文乔农  万遂人  刘增力
作者单位:东南大学医学电子学实验室;昆明理工大学信息工程与自动化学院;
基金项目:国家自然科学基金项目(60872157)
摘    要:提出一种新的图像去噪方法,它是Besov空间的变分模型,在负实数次Sobolev空间上定义了数据项,用Besov半范数定义了正则项。并详细推导了变分模型在Besov空间的阈值求解公式,先做一个Contourlet变换域的小阈值收缩,然后再利用该模型去噪。去除噪声的同时也损失了部分边缘信息,把边缘分为四种情况,针对不同情况确定相应的边缘补偿方法。实验表明该模型具有良好的去噪效果。

关 键 词:图像去噪  Besov空间  阈值收缩  边缘补偿  

BESOV SPACE THRESHOLD SHRINKAGE AND EDGE COMPENSATION IMAGE DENOISING
Wen Qiaonong Wan Suiren Liu Zengli.BESOV SPACE THRESHOLD SHRINKAGE AND EDGE COMPENSATION IMAGE DENOISING[J].Computer Applications and Software,2011(9).
Authors:Wen Qiaonong Wan Suiren Liu Zengli
Affiliation:Wen Qiaonong1 Wan Suiren1 Liu Zengli2 1(Medical Electronics Laboratory,Southeast University,Nanjing 210096,Jiangsu,China) 2(Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650051,Yunnan,China)
Abstract:A novel image denoising method is proposed in the paper.It is a variation model of Besov space.It defines both data items in negative real times Sobolev space and regularization items with Besov semi-norm.The paper derives in detail the threshold solve formula of variation model in Besov space.At first a small threshold shrinkage is made with Contourlet transform domain,then that model is applied for denoising.The denoising process causes four types of edge information loss,which are couterbalanced by diffe...
Keywords:Image denoising Besov space Threshold shrinkage Edge compensation  
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