小波图象变换的源代码

可以用mallat分解的方法实现图像的正反变换-can Mallat decomposition method the pros and transform image

小波十讲电子书（中文版，李建平，杨万年译），很实用，很难找的哦！-E-book Ten Lectures on Wavelets (Chinese version, Li Jianping, Yang Wannian translation), it is practical, it is difficult to find the Oh!

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.

这是关于小波变换的VC源码,test_images 目录下存放是各章程序所需的标准图像 其他目录存放的则是相应章节的程序源代码。 各章节源代码的说明见各个章节的子目录。-This is a wavelet transform on the VC source, test_images storage directory is required for the various chapters of the standards process images stored in other directories is the corresponding source code sections. Various sections of the source code is described in various sections of the subdirectories.

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

提升小波变换程序， %LWT Lifting wavelet decomposition 1-D. % LWT performs a 1-D lifting wavelet decomposition % with respect to a particular lifted wavelet that you specify.-lifting wavelet transform procedures% Local Walsh Transform Lifting wavelet decomposition 1-D. % Local Walsh Transform performs a 1-D lifting wavelet decomposition% with respect to a particular lifted wavelet that you specify.

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

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

光谱的定量测量程序,用matlab编写,比较使用.-Spectra of quantitative measurement procedures, using matlab write, compare the use of.

目标检测通用程序 采用CURVELET变换 多分辨分析方法 类似于小波分析 -General procedures for target detection using Curvelet transform multiresolution analysis method is similar to wavelet analysis