S transform is an extension of wavelet transform, has a very large value

此程序用提升法实现第二代小波变换,采用时域实现,步骤先列后行-This procedure used to enhance law to achieve the second-generation wavelet transform, using time-domain realization of the first steps out later

小波滤波的MALLAT算法,程序编写的很容易懂,能实现bd1-db10的小波分解和重构,比我前一次发的小波算法更简单易懂-Wavelet filtering MALLAT algorithm, programming is very easy to understand, to achieve bd1-db10 wavelet decomposition and reconstruction, than I made the previous wavelet algorithm is more straightforward

It contains very useful coding about three dimension spiht, which includes picture compression and video compression without motion-compensationa and motion-estimation.

利用小波变换和特征加权进行纹理分割,很简单,初学者-Using wavelet transform and feature weighting to texture segmentation, very simple, for beginners

逆滤波处理源代码-inverse filtering source code

关于小波变换的源程序-on wavelet transform source

AppWizard has created this 小波变换 application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your 小波变换 application. -AppWizard has created this wavelet transform application for you. This applicationnot only demonstrates the basics of using the Microsoft Foundation classesbut is also a starting point for writing your application.This file contains a summary of what you will find in each of the files thatmake up your wavelet transform application.

通过小波变换，由小波系数的梯度值提取图像的边缘-wavelet transform, wavelet coefficients from the gradient from the edge of the image

该源代码又称双树复小波变换源代码，它不仅具有Gabor变换的六个方向选择性，而且有更小的冗余度，对图像处理的同行们肯定有很大的价值，可直接下载使用。-The source code also known as the Dual-Tree Complex Wavelet Transform source code, it not only has the Gabor transform of the six direction selectivity, but also has a smaller redundancy of image processing colleagues certainly have great value, can directly download使用.

包括一次行、列变换，一层，二层，三层小波变换，低通，高通滤波，图像复原，增强，融合-including a trip out transform, layer, Layer wavelet transform, low-pass and high-pass filtering, image restoration, enhancement, integration