基于小波变换图像压缩的量化技术研究，很值得参考

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

本程序实现二维灰度图像的小波变换和逆变换。 直接运行本目录下的批处理程序run即可。 用户需自己输入以下参数： 1. 图像文件名(lena.bmp，若使用其它图像请先放入本目录下) 2. 选用的小波名称(本程序中可使用haar及db2-db5) 3. 小波变换的级数。 运行结束后小波变换与逆变换结果分别保存在dec.bmp与rec.bmp中。-This procedure realize two-dimensional gray-scale image wavelet transform and inverse transform. Catalog under the direct operation of a batch process can run. Users need their own, enter the following parameters: 1. Image file name (lena.bmp, if the use of other images, please Add Catalog under) 2. Wavelet chosen name (This procedure can be used haar and db2-db5) 3. Wavelet Transform series. Run after the wavelet transform and inverse transform results are stored in dec.bmp in with rec.bmp.

小波图象变换的源代码- Wavelet image transformation source code

图像处理的源码，将原始图像二值化并并将其投影图显示出来，能运行，很不错。-Image processing source code, the original image binarization, and its projection display that can run very well.

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

使用小波变换的图像边缘检测算法-use wavelet transform Edge Detection Algorithm

调试通过的2维fft算法，含一个.cpp文件，一个.h文件

Apart from the Haar transform, there is no orthogonal wavelet transform

小波神经网络程序基于反向传播训练-wavelet-based neural network program back propagation training