C语言做的基于小波变换的逆零树解码

新一代静止图像压缩编码标准JPEG2000概述* 丁贵广 郭宝龙 西安电子科技大学 机电工程学院 西安 710071 guiguangd@263.net 摘要随着多媒体技术应用的不断增加图像压缩技术不仅要求具有较高的压缩性能而且还要求有新的特征来满足一些特殊的要求为此国际标准化组织ISO指定了新一代静止图像压缩标准JPEG2000本文通过对JPEG2000中核心算法EBCOT的详细分析阐述了JPEG2000压缩标准新的特征以及与现有压缩标准相比显示出来的优越性能 关键词JPEG2000小波变换EBCOT彩色图像编码-new generation of static image compression coding standard JPEG2000 outlined* Ding Guang Guo Baolong Xi"an University of Electronic Science and Electrical and Mechanical Engineering College, Xi"an 710071 guiguangd@263.net Abstract multimedia technology with the increasing use of image compression technology not only requires a high compression performance, but also requires new features to meet the special requirements for this ISO designation of a new generation of still image compression standard JPEG2000 Based on the core JPEG2000 algorithm EBCOT the detailed analysis described JPEG2000 compression standard and the new features with the existing compression standard compared to demonstrate the superiority can Keywords

对于PCA ，LDA，BIC，EBGM都有很详细的代码。但是需要在LINUX下配置运行。不过代码较有参考价值。-For PCA, LDA, BIC, EBGM have a very detailed code. But the need to configure to run under LINUX. However, a more useful code.

3D的小波变换编码，用的是SPIHT方法。-3D wavelet transform coding, SPIHT method is used.

一个具体的小波变换实现源代码； wavelet 子目录中存放的是基本的小波处理函数代码； wavelet_plugin 子目录中存放的是.dll的实现代码。- A concrete wavelet transformation realization source code; In the wavelet child directory deposits is the basic wavelet processing function code; In the wavelet_plugin child directory deposits is dll realization code.

本算法结合小波变换和SVD奇异值变换，实现了水印的嵌入和提取，载体图像的鲁棒性和水印的不可见性，提取出的水印图像的和原水印图像基本一致，抗攻击性强。-The algorithm combines wavelet transform and SVD singular value transformation, achieved watermark embedding and extraction, vector image watermark robustness and invisibility, the extracted watermark image and the original watermark image are basically the same, anti-attack and strong.

简单的哈尔小波变换。程序实现的功能如下：输入图像，界面中可以看到图像经变换所产生的变化-Simple Haar wavelet transform. Realize the function of the procedure are as follows: the input image, the interface can be seen in images generated by the transformation changes

关于二维小波变换的程序 [精华] 说明：此算法重在概念，速度并不是很快。因为FOR循环的缘故。此程序从循环矩阵的观点出发，把圆周卷积和快速幅里叶变换建立了联系。实现了分解和无失真重构。它只做了一层分解，即将256x256图形分解成为64x64的四个图形，避免了使用WKEEP()的困惑。主要思想为用小波滤波器族构造正交阵W,变换写为B=W*A*W ,反变换为：A=W *A*W,这与所有正交变换无异。W为循环正交矩阵，因此可用FFT实现快速运算，难点就在重构矩阵上。若用矩阵概念明确，一个共扼转置可以搞顶。但FFT的使用必须找到与分解序列的关系。-on Wavelet Transform procedures [best] Note : This algorithm important concept is not speed quickly. Because FOR cycle nowadays. This program cycle from the point of view of Matrix, circular convolution and fast Fourier transform is established links. To achieve the decomposition and reconstruction without distortion. It only had one decomposition, 256x256 graphics will be 64x64 decomposition of the four graphics, avoiding the use of WKEEP () confusion. The main idea of using wavelet filter generator orthogonal array W, write to transform B = W* A* W, anti-Transform : A = W* A* W, which is orthogonal transformation all the same. W cycle orthogonal matrix, can be used to achieve rapid FFT computation, on the dif

图像处理Matlab源码，没有详细说明的图像处理Matlab源码，没有详细说明

小波变换与应用实例（超星格式电子书）-wavelet transform and application examples (Superstar format e-books)

图像多尺度分析，小波变换的进一步发展slantlet变换代码，用matlab编写有使用说明-slantlet code