Wavelet zerotree coding source for the study of wavelet image coding for the stu...

通过线性代数介绍小波。Frazier的经典著作，在小波书籍中，属于通俗易懂类。-Linear algebra through the introduction of wavelet. Frazier

采用5/3小波提升算法编写的一维和二维信号小波分解与重构程序。给出了图象分解的演示示例。-using 5/3 wavelet algorithm to enhance the one-and two-dimensional wavelet decomposition and reconstruction process. Given the decomposition of images demonstration examples.

基于小波和统计特性的自适应图象增强-based on wavelet and the statistical characteristics of adaptive image enhancement

对一维信号进行小波分解和重构的C程序，绝对误差为10^-11.1）主程序：Mallat.c2）一维信号的输入文件：wdata.dat2）分解重构过程中产生的数据的文件：Data.txt-right one-dimensional signal wavelet decomposition and reconstruction of C procedure, the absolute error of 10 ^-11.1) main program : Mallat.c2) one-dimensional signal input documents : wdata.dat2) decomposition of the reconfiguration process the data in the paper : Data.txt

基于Trous小波算法的影像融合由于存在抽取和插值运算，其结果存在一定的相位失真Trous小波算法通过有限滤波器内插近似实现对影像数据的无抽取离散小波变换较好地解决了上述问题，在阐述影像数据融合原理的基础上给出了基于Trous小波变换的影像融合处理方法和过程。-Trous wavelet algorithm based on image fusion because of extraction and interpolation operations, the result there is a certain degree of phase distortion trous wavelet algorithm through limited interpolation filter approximation of the image data to achieve without taking discrete wavelet transform can solve the above problems, Before going into the image data fusion based on the principle of give trous wavelet transform based image fusion methods and the process of treatment.

小波变换编码 ！图象处理-Wavelet Transform Coding! Image Processing

用小波进行地震信号低切处理的例子-seismic wavelet signal processing low-cut examples

小波变换与工程应用（超星格式电子书籍）-wavelet transform and Engineering Applications (Superstar format e-books)

这是我用C做的基于小波变换的零树编码-This is what I do with C based on wavelet transform coding Zerotree

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.