学习第二代小波变换必须的一些材料 希望有用

对输入图像进行预处理后提取目标轮廓，经过归一化处理得到目标形 状的平移、尺度不变的链状表达，再通过小波变换进行多尺度分析；引入Zernike 矩，利用Zernike 矩的特性，实现小波表达的旋转不变性，解决了小波变换对起始点的依赖。-right to import images from pretreatment profile targets, after processing to be a target shape translation, The scale-invariant chain expression, and through the wavelet transform multi-scale analysis; introduction Zernike moment, use Zernike moments, wavelet achieve expression of rotation invariance, solve the wavelet transform the dependence of the threshold.

The Fast Lifting Wavelet Transform.very useful paper

在MATLAB语言环境下基于小波变换的图像处理-In the MATLAB language environment based on wavelet transform image processing

本算法结合小波变换和SVD奇异值变换，实现了水印的嵌入和提取，载体图像的鲁棒性和水印的不可见性，提取出的水印图像的和原水印图像基本一致，抗攻击性强。-The algorithm combines wavelet transform and SVD singular value transformation, achieved watermark embedding and extraction, vector image watermark robustness and invisibility, the extracted watermark image and the original watermark image are basically the same, anti-attack and strong.

小波变换具有良好的时―频局部性，是分析奇异信号的重要方法定点DSP在工程中的厘用士分背通，具实现小波变换可以满足工程是实时性的要求文中简要介绍了小波变换理论及算法，并结合TI公司的16位定点说明算法的实现。 -Wavelet transform has a good time- frequency localization, is to analyze the singular signal an important means of fixed-point DSP in engineering per cent pass with disabilities at the back with the realization of wavelet transform to meet the project is a real-time requirements of the article a brief introduction of wavelet transform theory and algorithm, combined with TI

这是我用C做的基于小波变换的零树编码-This is what I do with C based on wavelet transform coding Zerotree

最新的小波变换图象处理-latest wavelet transform image processing

采用多种小波基的离散小波变换源码-Wavelet basis using a variety of discrete wavelet transform source

该源代码是本人亲自所写，使用DWT对图像可以进行三次小波分解，直接下载可以使用，对图形图像处的同行们非常有用，欢迎下载。-The source code is written by himself, the use of DWT can be three times the image wavelet decomposition, a direct download can be used in the graphic image Department colleagues very useful are welcome to download.

小波DWT变换，一般大家是用matlab实现，但是这段程序是用c语言编写。-wavelet dwt