图象的harr小波分解与重构

用C++编写的基于提升结构的9/7离散小波变换，边界处理采用的是嵌入式对称结构。-With C++ Prepared to upgrade the structure based on the 9/7 discrete wavelet transform, boundary treatment is used in embedded symmetric structure.

基于小波变换的彩色图像压缩.-based on wavelet transform color image compression.

水波纹效果，很神奇的。大家-Water ripple effect, it is amazing.

小波变换中卷积的源代码，经过注释和整理，可以直接被调用，很方便-Wavelet Transform in the convolution of the source code, after the Notes and finishing, you can call directly, it is convenient

基于小波变换模极大的多尺度图像边缘检测matlab源代码-based on wavelet transform modulus maxima of multiscale edge detection Matlab source code

基于提升法的HARR小波整数变换的源代码，可以扩展为其它的小波变换-law HARR integral wavelet transform the source code, can be extended to other wavelet transform

多尺度分析的图象处理技术，是目前比较新的一种处理方法。-multiscale analysis of image processing technology, is a relatively new approach.

这是小波变换软件在图像处理中的应用，该软件是基于MFC的，可以处理不同大小的图像，同样也可以更换小波函数，实现不同的小波变换。-This is the wavelet transform the image processing software, the application of the software is based on the MFC, can handle different sizes of the images, but also can be replaced wavelet function, allowing different wavelet transform.

基于带参数整数小波变换可见数字水印，技术很前沿-This is a visible watermark sourcecode based on a integral wavelet transformation with parameters.

本书的目的主要是向读者展示傅里叶分析和小波的许多基础知识以及在信号分析方面的应用。全书分为8章和2个附录，前言部分是学习第1章至第7章的准备知识，即内积空间；第1章讲解傅里叶系列的基础知识；第2章讲解傅里叶变换；第3章介绍离散傅里叶变换以及快速傅里叶变换；第4章至第7章讨论小波，重点在于正交小波的构建；附录部分则介绍稍微复杂的一些技术主题以及演示概念或产生图形的MATLAB代码。许多关于小波的文章和参考书籍均要求读者具有复杂的数学背景知识，本书则只要求学生具有较好的微积分以及线性代数知识，通俗易懂，是数学、计算机、电子、通信、地质、医学、机械等专业高年级本科生及研究生的基础教科书，也可作为相关技术人员的参考书。-The main purpose of this book is to show readers Fourier and wavelet analysis of many of the basic knowledge as well as in signal analysis applications. The topics are divided into eight chapters and two appendices, is to learn from the preamble of Chapter 1 to Chapter 7 of the preparation of knowledge, that is, inner product space Chapter 1 on the basis of Fourier series of knowledge Chapter 2 on Fourier Transform Chapter 3 introduced the Discrete Fourier Transform and Fast Fourier Transform Chapter 4 to Chapter 7 to discuss wavelet, with emphasis on construction of orthogonal wavelet appendix describes slightly complex themes, as well as a number of technical concepts or pr