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基于非采样Contourlet与全变差模型的图像去噪
引用本文:陈力,林颖.基于非采样Contourlet与全变差模型的图像去噪[J].汕头大学学报(自然科学版),2009,24(1):62-68.
作者姓名:陈力  林颖
作者单位:汕头大学电子工程系,广东,汕头,515063
摘    要:分析非采样Contourlet与全变差滤波器在图像去噪中的特点,提出一种基于图像全变差模型的非线性扩散与非采样Contourlet相结合的自适应混合图像去噪算法.该算法在中、低频部分采用全变差扩散,在高频部分采用非采样Contourlet变换,并在此基础上用半软阈值法取代软阈值法.实验结果表明,该算法能够在降低复杂度的同时得到好的滤波效果.

关 键 词:图像去噪  非采样Contourlet  全变差  半软阈值法

Half-Soft Threshold Image De-noising Algorithm Based on Nonsubsampled Contourlet Transform and Total Variation
CHEN Li,LIN Ying.Half-Soft Threshold Image De-noising Algorithm Based on Nonsubsampled Contourlet Transform and Total Variation[J].Journal of Shantou University(Natural Science Edition),2009,24(1):62-68.
Authors:CHEN Li  LIN Ying
Institution:(Department of Electrical Engineering, Shantou University, Shantou 515063, Guangdong, China)
Abstract:The features of nonsubsampled Contourlet transform(NSCT)and total variation (TV) in image de-noising were studied. An adapted hybrid image de-noising algorithm is proposed based on TV diffusion and NSCT. The TV diffusion was applied to the medium and low frequency parts of image decomposed by NSCT. A half-soft threshold other than the soft threshold was used to shrink the high frequency parts. Experiment results show that the de-noising performance was improved by the proposed algorithm.
Keywords:image de-noising  nonsubsampled contourlet transform  total variation  half-soft threshold
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