dwt小波变换，用于对图像处理，压缩

用一维小波变换进行图像去噪处理，有较低的计算复杂度，提高效率和计算速度。-Victoria with a wavelet transform image denoising, lower computational complexity, increase efficiency and speed.

3次非标准小波分解和重构， 使用两种小波：Haar小波和db9小波 设计3级小波分解和重构图像的程序 用你自己的照片作对象，显示其中任一种小波图像分解和重构过程 使用Haar小波时，计算阈值分别为0，5，10和20的情况下，用PNG格式存储重构的图像，并将计算结果填入“图像测试表” 使用db9小波时，计算阈值分别为0，5，10和20的情况下，用PNG格式存储重构的图像，并将计算结果填入“图像测试表” -3rd standard wavelet decomposition and reconstruction, the use of two wavelet : Haar wavelet and wavelet design Terminal 3 wavelet decomposition and reconstruction process images using your own pictures for targets, which shows the image of a wavelet decomposition and reconstruction process using wavelet Haar, the threshold values were calculated for 0, 5,10 and 20 of the cases, the storage format used PNG Image Reconstruction and results Enter "Image table test" Wavelet use Terminal, the threshold values were calculated for 0,5,10 and 20 of the cases, the storage format used PNG Image Reconstruction and calculation results Enter "Image test Table"

图象处理中的一些经典代码 周长发书上的原代码 小波变换-Image processing code in a number of classic books weeks long code of the original wavelet transform

Visual C++小波变换技术与工程实践（小波变换实现视频转换）-Visual C wavelet transform technology and engineering practice (wavelet transform video conversion)

用于JPEG2000图像认证的半脆弱性数字水印算法,一种新的算法-JPEG2000 image authentication for the semi-fragile watermarking algorithm, a new algorithm

静态切分窗口的曲线y=ax*x+10*x+10图，根据a在[-10，10]区间变化时，曲线随着变化-static window splitting the curve y = ax 10* x* x 10 maps, in accordance with a [-10, 10] interval changes, in keeping with the changing curve

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

小波变换技术与工程实践：图像的小波变换(MFC框架下)-Wavelet transform technology and engineering practice: Image Wavelet Transform (MFC framework)

系列小波算法c程序-Series of wavelet algorithm c program

图像压缩中的小波变化-Image Compression Wavelet changes