基于小波变换的盲水印技术

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

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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.

计算小波变换的Mallat算法需要逐级分解和重构，而本文通过矩阵变换方法，给出不需逐级计算的小波分解和重构矩阵的构造方法，并给出9/7小波的分解和重构矩阵的基向量及波形图。-Calculation of the Mallat algorithm of wavelet transform decomposition and reconstruction needs level, and this article through the matrix transformation method of calculation without level wavelet decomposition and reconstruction of the structure matrix method of 9/7 wavelet decomposition and re- conformation of the base matrix and the wave vector.

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各种数字图象处理方法（锐化，小波变换，水印嵌入等等）。-variety of digital image processing methods (sharpening, wavelet transform, watermark embedding etc.).

小波变换是一个当今比较常用的图像处理方法，它可以很方便实现图像空间域到频率域的转换！-wavelet transform is a more commonly used in today"s image processing method, which can facilitate the achievement of image space domain to the frequency domain conversion!

用来分析信号频分量，对信号进行分解。可用于图像、的分解和重构。-Used to analyze the frequency component signal, the signal decomposition. Can be used for images, the decomposition and reconstruction.

一维二进小波变化与Mallat交体投影算法源码-One-dimensional dyadic wavelet change and cross-body projection algorithm Mallat source

It is used to filter the info. using wavelet transform