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digital curevlet transform,for multiresolution analysis
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本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实
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by Minh Do
Contourlet transform: an efficient and flexible multiresolution, local, and directional image ...
The contourlet transform: an efficient directional multiresolution image representation,
Minh N. Do and Martin Vetterli,
IEEE Tran
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In this paper, a multimodal image fusion algorithm based on multiresolution
transform and particle swarm optimization (PSO) is proposed.
Firstly, the source images are decomposed into low-frequency coefficients and
high-frequency coefficients b
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Contourlet变换提出者Minh.ndo结合论文的Matlab实现源码，可以给从事多尺度图像处理人做一个很好的参考--Contourlet Toolbox (Windows download format also available on MATLAB Central): MATLAB source code that implements the contourlet transform and its utility functions. See paper The contourl
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Many synthetic aperture radar (SAR) image formation algorithms require the computation of a multidimensional
Fourier transform of irregularly-sampled or unequally-spaced data samples. We apply a recently developed
algorithm, the unequally-spaced
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A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour
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Content Based Image Retri Using Multiresolution Color and Texture Features-Content Based Image Retri Using Multiresolution Color and Texture Features
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