Contourlet:一种有效的方向多尺度变换分析方法被引量：32

Contourlet:Efficient Directional and Multiresolution Analytic Tool

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摘要 Contourlet变换是对二维图像域内小波变换的一种新扩展,由不可分的方向滤波器组实现,该变换的基函数分布于多尺度、多方向上,可仅利用少量系数有效地捕捉图像中的光滑轮廓,而光滑轮廓正是自然图像的主要特征。讨论了Contourlet变换的发展背景、原理和数字实现与实际应用,分析了Contourlet变换存在的问题并指出了进一步研究的方向。 The Contourlet transform is a new extension to wavelet transform in two dimensions using nonseparable and directional filter banks. With rich set of basis images oriented at varying directions in multiple scales, Contourlet transform can effectively capture the smooth contours, which are the dominant features in natural images, with only a small number of coefficients. This paper discussed the background,principles, digital realization and the application of Contourlet transform. Based on an analysis of the current problems within Contourlet transform, its further research directions has been anticipated.

作者易文娟郁梅蒋刚毅

机构地区中国科学院计算技术研究所宁波大学电路与系统研究所

出处《计算机应用研究》 CSCD 北大核心 2006年第9期18-22,共5页 Application Research of Computers

基金国家自然科学基金资助项目(60472100) 浙江省自然科学基金青年人才基金资助项目(RC01057) 浙江省科技攻关项目(2004C31105) 宁波市科技局资助项目(2003A61001 2004A610001 2004A630002)

关键词方向多尺度变换 CONTOURLET变换 CURVELET变换小波变换 Muhiscale Geometric Transform Contourlet Transform Curvelet Transform Wavelet Transform

分类号 TP317.4 [自动化与计算机技术—计算机软件与理论]

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1S Carlsson.Sketch Based Coding of Grey Level Images[J].IEEE Trans.Signal Processing,1988,15(1):57-83.
2J Elder.Are Edges Incomplete?[J].International Journal of Computer Vision,1999,34(2):97-122.
3X Xue,X Wu.Image Representation Based on Multi-scale Edge Compensation[C].Kobe:The International Conference on Image Processing,1999.
4S Mallat,S Zhong.Wavelet Transform Maxima and Multiscale Edges[A].B R,et al.Wavelets and Their Applications[M].Boston:Jones and Bartlett,1992.
5A Cohen,B Matei.Nonlinear Subdivisions Schemes:Applications to Image Processing[A].A Iske,E Quack,M Floater.Tutorial on Multiresolution in Geometric Modeling[M].Springer,2002.93-97.
6P L Dragotti,M Vetterli.Footprints and Edgeprints for Image Denoi-sing and Compression[C].Thessaloniki:Proc.of IEEE International Conference on Image Processing (ICIP),2001.237-240.
7E Le Pennec,S Mallat.Image Compression with Geometrical Wavelets[C].Vancouver:Proc.of International Conference on Image Processing (ICIP),2000.661-664.
8E J Candes,D Donoho.Curvelets:A Surprisingly Effective Nonadaptive Representation for Objects with Edges[A].A Cohen,C Rabut,L L Schumaker.Curve and Surface Fitting[M].Nashville:Vanderbilt University Press,1999.
9M N Do,M Vetterli.Contourlets[A].J Stoeckler,G V Welland.Beyond Wavelets[M].Academic Press,2002.
10D L Donoho.Orthonormal Ridgelets and Linear Singularities[J].SIAM J.Math.Anal.,1998,31(5):1062-1099.