It is used to filter the info. using wavelet transform

此程序实现图象傅立叶变换、离散傅立叶变换和小波变换、可以自己设定小波变换的参数-this procedure image Fourier transform, discrete Fourier transform and wavelet transform, can set their own parameters of wavelet transform

这是关于小波变换的VC源码,test_images 目录下存放是各章程序所需的标准图像 其他目录存放的则是相应章节的程序源代码。 各章节源代码的说明见各个章节的子目录。-This is a wavelet transform on the VC source, test_images storage directory is required for the various chapters of the standards process images stored in other directories is the corresponding source code sections. Various sections of the source code is described in various sections of the subdirectories.

lifting scheme指南-lifting scheme Guide

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.

基于opencv开源图像库作的一个轮廓识别的程序，要在图像处理软件中使用的加，对算法作了改进-opencv revenue based on the images for the identification of an outline of the procedure, in the image processing software used in Canada, the algorithm has been improved

基于小波变换的图像滤波处理，程序很简单采用的是差分实现小波变换-based on wavelet transform image filtering, a very simple procedure using the wavelet transform to achieve Differential

给出了分形计算的源代码的matlab程序，可以迅速帮助大家进行分形的分析与计算，参数容易设置-given fractal calculation of the source code of Matlab procedures, can help you quickly fractal analysis and calculation of parameters of easy setup

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

小波分析-wavelet analysis

一种可实际应用的基于小波分析的数字水印方法。已通过验证。-A practical application of wavelet analysis based on digital watermarking methods. Has been verified.