图形动画特效演示程序，根据用户要求为一幅图片施加特效，可以产生非常美观的视觉效果。在制作软件的用户界面时，有一定参考价值。...

intel JPEG2000，需要IPP

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

图像小波变换，可实现1，2，3层小波，图像增强，融合等，功能相当强大-Image wavelet transform, can be realized 1,2,3 layer wavelet, image enhancement, integration, functions quite powerful

图形动画特效演示程序，根据用户要求为一幅图片施加特效，可以产生非常美观的视觉效果。在制作软件的用户界面时，有一定参考价值。-Graphics animation special effects demo program, according to user requirements for the imposition of a special effects picture, you can have a very beautiful visual effects. In the production of software user interface, a certain reference value.

应用小波变换的数字水印程序-Transform digital watermarking procedure

小波图像处理程序-wavelet image processing

用小波处理图像2-wavelet image processing 2

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

对图像进行二维小波变换，变换后的二维图像将分为四个子带。-The image two-dimensional wavelet transform, the transformed two-dimensional image will be divided into four sub-band.

Visual C++小波变换技术与工程实践（小波变换实现虑波）-Visual C wavelet transform technology and engineering practice (wavelet transform worry wave)