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wavelet_fenli
- 离散小波变换正反变换分离程序，含可读取小波系数文件重构图像，小波系数分解文件-Discrete Wavelet Transform and against separation procedure, the wavelet coefficients can read the file containing the image reconstruction, wavelet coefficients of decomposed file
tu7
- 图像3维小波变换去噪.先加噪声，在进行3维小波分解，重整小波系数-denoising of image by wavelet
wavle-conoising
- 将信号映射到小波域，根据噪声和噪声的小波系数在不同尺度上具有不同的性质和机理，对含噪信号的小波系数进行处理。实质是减少剔除噪声产生的小波系数，最大限度的保留真实信号的系数。 -Will be mapped to the signal wavelet domain, according to noise and noise of wavelet coefficients in different scales with different properties and mechanism of s
zantaixinhaojiance
- 采用小波分解时域信号，通过多层分解，根据小波系数检测原信号中的暂态信号-Time-domain signal using wavelet decomposition, through multi-layer decomposition, the wavelet coefficients of the original signal in the detection of transient signals
faboxiaozao
- 方波信号削噪，用sym8小波进行三层分解并用heursure软阈值进行小波系数阈值化-Cut a square wave signal noise, three with sym8 wavelet decomposition and use heursure soft threshold wavelet coefficients thresholding
Image-Fusion-
- 本文给出了一种基于小波变换的图像融合算法，在考虑小波系数选择规则的前提下，还重点研究了尺度系数的选择方案-This paper presents a wavelet-based image fusion algorithm
RemovingNoiseFromAnImageWithFFT
- 保留了大部分包含信号的小波系数,因此可以较好地保持图象细节。小波分析进行图像去噪主要有3个步骤:(1)对图象信号进行小波分解。(2)对经过层次分解后的高频系数进行阈值量化。(3)利用二维小波重构图象信号。-Retained most of the wavelet coefficients that contains the signal, so you can maintain better image details. Wavelet analysis for image denoising
SGWUND
- 将小波相邻系数相关性的降噪思想引入到冗余第2代小波中，提出了基于邻域相关性的冗余第2代小波降噪方法，该方法克服了传统阈值降噪没有考虑小波系数之间相关性的不足。-Aiming at fault feature extraction in the background of strong noise, a wavelet denoising idea by incorporating neighboring coefficients is introduced into redundant seco
wavelet
- 用小波变换进行图像增强，先对原始图像进行非下采样的小波分解，在对每一层的高频分解系数进行处理，得到变换后的小波系数，再进行小波重构。-Image enhancement using wavelet transform, the original image and non-sampling wavelet decomposition in the high frequency decomposition coefficients of each layer, get the wavelet co
dianyazhanjian
- 仿真产生简单的短路电压暂降信号,求小波系数模极大值-Simulation of a simple short-circuit voltage sag signal, find the modulus maxima of wavelet coefficients
wavelet
- 小波系数域相关性非线性增强用于红外图像增强-Wavelet coefficients domain nonlinear enhancement for infrared image enhancement
1D_Gabor_transform
- 这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m
quzaochengxu
- 通过阈值去噪，最关键的就是要确定最佳阈值T 的大小.如果阈值太小，可以保留更多的小波系数，但同时噪声也被保留；相反，阈值太大，可以消除更多的噪声，但重要图像特征又将被滤掉，引起偏差.目前使用的阈值分为全局阈值和局部阈值.全局阈值对各层所有的小波系数或同一层内的小波系数都是统一的；局部阈值则是根据当前系数周围的局部情况来确定合适的阈值，具有灵活性.-Threshold denoising, the most critical is to determine the optimal threshol
syqrck
- 本程序通过C#实现了图像三级小波变换，并采用除二取余的方法将二值图像水印潜入图片中频小波系数当中，提取率在98 以上，鲁棒性一般。要求图片256*256灰度图像，水印信息32*32二值图像。-Program in C# to achieve the image of three wavelet transform, and the addition to the methods of the two modulo the binary image watermark to sneak into
experiment4_c2
- 对一幅灰度图像，实现用Haar小波、Db2、Db3小波的分解与重构（并对小波系数进行变换）（使用自编函数）-A grayscale image, using the Haar wavelet, Db2, DB3 wavelet decomposition and reconstruction (and the wavelet coefficients transform) (using the self function)
xiaoboyuxiangguanfaquzaoMATLAB
- 小波域相关法去噪的matlab源程序。空域相关滤波是基于小波系数尺度之间相关性原理，比较适用于高信噪比信号-The correlation of the wavelet domain denoising Matlab source. The spatial correlation filter is based on the principle of correlation between the wavelet coefficients of scale, more suitable for
cthys
- haar小波的图像压缩，对一副图像进行小波分解，然后对低频部分小波系数进行重构，再量化压缩-haar wavelet image compression, wavelet decomposition of an image, and then to reconstruct the low frequency part of the wavelet coefficients, and then quantify the compression
denoise2ceng
- 主要用小波对图像进行分解，重构，通过小波系数实现图像去噪-The main use wavelet decomposition of image, reconstruction, through the wavelet coefficient realize image denoising
Image-retrieval
- 采用小波变换，利用小波系数，作为图像纹理特征的检索。并采用欧式距离，将最相似的图像，按序排列下来-The wavelet transform using the wavelet coefficients as the retrieval of image texture features. And Euclidean distance, the most similar images in descending order down
yy4
- 小波分解实例 对连续信号进行三层的小波分解并对每层的小波系数重构-Wavelet coefficients of the wavelet decomposition and wavelet decomposition instance three continuous signal on each floor reconstruction