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提供了轮廓波变换工具箱，通过该工具箱可以完成轮廓波变换。该变换是在小波变换的基础上发展出的一种新的变换理论，能够实现分解的多方向性，更加适合图像处理。-Contourlet transform provides a toolbox, the toolbox can be completed by the contourlet transform. The wavelet transform is developed on the basis of a new transformation the
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Contourlet Toolbox (Version 2.0)
Demos
DECDEMO Demonstrates contourlet decomposition and reconstruction
NLADEMO Demo for contourlet nonlinear approximation.
NLADEMO2 Nonlinear approximation demo using only the finest scale
DENOIS
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关于Steerable filtering decomposition 的matlab程序,- STEERGAUSS Implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in:
W. T. Freeman and E. H. Adelson
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针对低可见光图像和红外图像的特点,提出一种基于DT-CWT的自适应图像融合算法.该算法具有好的平移不变性和方向选择性,更适合于人类视觉.先对源图像作双树复小波变换,充分考虑各尺度分解层的系数特征,对
低通子带引入免疫克隆选择,根据统计评价准则定义亲和度函数,自适应获得最优融合权值 对高通子带则根据人类视觉特性定义局部方向对比度,并作为融合准则,突出和增强了各源图像的对比度与细节信息.实验结果表明:
与基于小波的融合结果相比较,本文的融合算法自适应性和鲁棒性更强,较好地保护和显示了源图像中
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基于二维小波变换和方向向量，提出一种新的虹膜特征提取方法。该方法的基本思想是考虑虹膜纹理的
灰度变化，对于多层小波分解后的低频分量，分别求其在4个方向上的方向向量，最后形成虹膜码。测试结果表明，该方法能
有效地提高虹膜的识别率，且算法简单、快速。
-The basic principle of the method is as follows.In view of iris textural intensity variation,for the low-
frequency c
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NSCT多尺度分解，能够得到多方向的分解向量-The NSCT multi-scale decomposition can be multi-directional decomposition vector
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Block-based random image sampling is coupled with a projectiondriven
compressed-sensing recovery that encourages sparsity in
the domain of directional transforms simultaneously with a smooth
reconstructed image. Both contourlets as well as comp
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双树方向滤波器组，用于图像的方向分解和重构- Directional Filterbank Decomposition
Directional Filterbank Reconstruction
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A filter bank for the directional decomposition of images Theory and design
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双树复小波的分解工具箱。包含一维双树复小波和二维双树复小波的分解和重构。能够有方向性的分解图像或信号。-Doubletree complex wavelet decomposition toolbox. Contains one-dimensional and two-dimensional tree complex wavelet tree complex wavelet decomposition and reconstruction. Directional image can be de
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