This is a wavelet transform on the VC source, test_images storage directory is r...

小波压缩的优化MMX的解码器-wavelet compression optimization MMX decoders

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.

小波变换实现源码，小波学习的必备参考，请大家分享-source wavelet transform, wavelet learning essential source, please share

用于图像的多尺度分析，shapelet变换用matlab 编程实现-shapelet code

子波变换与子波分析-wavelet transform and wavelet analysis

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.

MakeBSFilter产生完全重构双正交对称滤波器 MakeBSWavelet产生双正交对称小波和尺度函数的图形-MakeBSFilter have completely remodeling Biorthogonal symmetrical filter MakeBSWave have let biorthogonal wavelet and symmetric scaling function graphics

这是小波变换的matlab程序，一维二维的情况下都有-This is the wavelet transform matlab procedures, one-dimensional two-dimensional case have

用matlab实现的基于小波变换的图像增强去噪-achieved using Matlab based on wavelet transform image enhancement and denoising

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