小波变换与小波分析

由于成像方式及波谱接收段的不同.合成孔径雷达SAR(synthetic aperture radar)与可见光图像所反映的信息有很大差异，图像之间相关性弱，且互补性明显。因此在图像融合时，应该根据其互补性信息特征各取所长。在研究了一些现有融合方法的基础上，提出了一种基于互补信息特征的SAR与可见光图像融合方法。首先通过基于像素邻域的能量统计特性融合SAR与可见光图像，将SAR图像中的重要目标信息加入到可见光图像中，然后再利用小波变换进行二次融今，充分加入原始图像的边缘细节信息。实验结果表明，该融合方法有效。-err

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.

FWT_Stat用信号的平稳位移计算二进小波正变换 MM2_DWT图像的二进小波变换的模极大-FWT_Stat using signal to the smooth displacement dyadic wavelet transform is the two images MM2_DWT Progressive wavelet transform modulus maxima

image noise reduction by level dependent thresholding ％ and non-decimated wavelet transform-image noise reduction by level dependent thresholding and non-decimated wavelet transform

haar wavelet source code implemented by matlab

二维小波分析对图像处理的应用-wavelet analysis of 2D image processing applications

基于小波变换模极大的多尺度图像边缘检测matlab源代码该算法采用的是样条小波-Based on wavelet transform modulus maxima of the multi-scale image edge detection matlab source code of the algorithm is based on spline wavelets

这是小波变换的matlab程序，一维二维的情况下都有-This is the wavelet transform matlab procedures, one-dimensional two-dimensional case have

fourier变换的原代码,原代码由C语言开发,内包含测试图片-fourier transform the original code, the original code by the C language development, which includes testing Photo

S变换是小波变换的一种扩展，有非常大的价值-S transform is an extension of wavelet transform, has a very large value