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DWT1D
- 一维正交小波变换(二进小波变换）包括分解与重构-this program compute the one-dimensional orthogonormal wavelets transform of the signal in a data file and reconstruct the original signal from its wavelet decomposition using the Mallat s pyramidal algorithm.
symletssplines
- 这个m代码包含了一系列的小波变换的实现函数，有Daubechies,symlets,splines,S+P小波, JPEG2000小波变换等. 可以进行1D或者二维小波变换。-The m code contains a series of wavelet transform to achieve function, and Daubechies, symlets, splines, S+ P wavelets, JPEG2000 and other wavelet transform. Can
Matlab_Wavelet_Denoise_Compress
- 包括的多个示例源代码有：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-Including the source code of a number of examples are: a linear one-dimensional non-linear approximation, nonlinear two-dimensional linear approximation, the use of linear
WaveletTransformsinMATLAB
- 执行一维和二维小波变换在MATLAB环境中。十几包括的小波函数有： * Haar * Daubechies 1-6 * Symlets 1-6 * Coiflets 1 and 2 * Splines and reverse splines * CDF 9/7 and Le Gall 5/3 * S+P wavelets (2,2), (4,2), (4,4), (6,2), and (2+2,2) * Two Ten "TT" * Low-complexit
Matlab_wavelet
- 掌握小波分析在图像分析等各方面的应用。对图像进行二维离散小波分解、多尺度二维离散小波分解 并提取二维小波分解的高频系数和低频系数， 画出原始图形并显示分解结果。-Master the application of wavelet analysis in image analysis and other applications. Image two-dimensional discrete wavelet decomposition, multi-scale two-dimensiona
m090621a
- 三层二维小波变换在压缩领域的应用，将一幅256*256的图像压缩为76*76-Three-two-dimensional wavelet transform in compression applications, will be a 256* 256 image compression for the 76* 76
DWT
- 用DWT实现二维小波变换 二维小波分解 重构图形与原始图像误值-With the realization of two-dimensional wavelet transform DWT wavelet decomposition of two-dimensional graphic reconstruction of the original image with the wrong value
2cengwave
- 利用二维小波分析对图像作2层小波分解，并在此基础上提取各层的低频信息。-Image using two-dimensional wavelet analysis for two-layer wavelet decomposition, and on this basis, the low-frequency information extracted layers.
wavelet_Matlab7
- 本书是“MATLAB应用技术”系列丛书之一，以最新推出的MATLAB中的小波分析工具箱Wavelet Toolbox 3.0版本为基础。全书共分为三部分，第1部分着重介绍了小波理论基础，包括小波基础知识、连续小波变换、离散小波变换、多分辨率分析与正交小波变换、小波变换和多采样滤波器组、二维小波变换与图像处理及小波包的基本原理等；第2部分重点说明了小波分析工具箱的详细使用方法，包括图形用户接口、小波通用函数、一维小波变换的MATLAB实现、二维小波变换的MATLAB实现、小波包变换的MATLAB实
edge_detection
- 通过检测二维小波变换的模极大值点可以确定图像的边缘点，利用小波变换的多尺度性用于图像的边缘检测-By detecting modulus maxima point of two-dimensional wavelet transform we can determine the image edge points, using multi-scale nature of wavelet transform in image edge detection
li3-17
- 图像融合实例，利用二维小波将woman.mat和wbarb.mat两幅图像融合在一起-Image fusion examples, using two-dimensional wavelet to woman.mat and wbarb.mat two images together
zhengqiang
- 利用二维小波的图像增强 基于小波变换的多尺度图像边缘检测matlab源代码(在Matlab7.0下运行) -Using two-dimensional wavelet image enhancement based on wavelet transform multi-scale edge detection matlab source code (in Matlab7.0 run)
wavelift
- 进行二维小波提升算法，其中包括D9/7和D5/3两种提升滤波器的算法，使用方法可仿效算法中的例子程序-Two-dimensional wavelet lifting scheme, including D9/7 and D5/3 of two filter algorithms to enhance the use of methods to follow the example program algorithm
binary-wavelet-decomposition
- 该程序是关于一维二进小波的matlab实现，改程序中还包含一个上采样程序-One-dimensional binary wavelet decomposition
li3-13
- 利用二维小波变换实现数字水印，首先在图像中加入水印，重构图像，分离水印，最后检测和计算阈值。-Two-dimensional wavelet transform digital watermark, the first to add a watermark in the image, the reconstructed image, separate watermarks, detection and calculation of the final threshold.
MATLAB2-D(FWT)wavelet
- 经典的二维小波变换的例子，可以低通，高通滤波和取低频或高频灰度等，非常有价值！-The classic example of two-dimensional wavelet transform, can be low pass, high pass filter and take low-or high-frequency gray, etc., is very valuable!
wfb2rec
- 对进行二维小波分解后的图像，进行小波重构-Two-dimensional wavelet decomposition of the image, the wavelet reconstruction
waveletcdf97
- 9/7小波图像滤波，二维小波滤波快速分解重构(9/7 wavelet image filtering)
二维离散小波变换
- mallatm.m:一维mallat快速分解函数 mallatr.m:一维mallat快速重建函数 mallatm2d.m:二维mallat快速分解与合成算法的演示函数，要调用mallatm.m与mallatr.m 在matlab命令行键入(Two dimensional discrete wavelet transform)
双树复小波
- 这是一个双树复小波的MATLAB的应用工具箱，里面包含了一维、二维复小波变换代码，可直接调用。(This is a dual tree complex wavelet MATLAB application toolbox, which contains one-dimensional, two-dimensional complex wavelet transform code, which can be directly invoked.)