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wavelet
- 小波多尺度分解,分解后提取其低频成分和高频成分。-the multi-decomposition of wavelat
61IC_H4231
- PAV (H265) 是 音视频 压缩解压 协议,非常不同于H264/MPEG4,ZPAV (H265) 的基本算法 是 小波,多级树集合群,广义小波,数学形态小波,...... ZPAV (H265) 基本算法 : 1,图象与声音分解与合成 :小波 ; 2,图象与声音前处理 :小波子带零交叉降噪,目标纹理处理,语音处理 ; 3,速率控制 :小波子带熵速率控制 ; 4,量化与反量化 :小波子带熵量化与反量化 ; 5,低频分量和高频分量的降维 :小波子带邻域交
xiaobofenxi
- 进行小波分析,在matlab中调用db6函数的七层分解及低频重构-Invoke db6 function seven decomposition and low-frequency reconstruction wavelet analysis in matlab
Lifting Wave Transform
- 此为基于二代提升小波的阈值压缩算法源码,其中可以设置小波变换的分解层数,使用的小波名称,及各层阈值设置计算公式中的参数。并将低频系数转化为十六进制,方便在其上进一步压缩,如采用Huffman压缩等,程序思路清楚,附有完整的注释,可以使用多种小波,并且很好得体现了二代小波的思想,对于初学小波者帮助很大。-。-based on the second generation of this upgrade wavelet compression algorithm threshold source,
fenjiexianshi
- 通过小波转换对一副简单图形进行分解,并显示分解后的低频和高频,很简单的代码-a simple examplefor graphics decomposition and display.
xiaobo
- 给定一信号,用db1小波对信号分别进行单尺度和三尺度分解,求出各层的低频和高频系数,并进行重构。-Given signal db1 wavelet signal single-scale and scale decomposition, obtained layers of low-frequency and high-frequency coefficients to reconstruct.
main
- 小波实现对图像的三层分解,并分别保存低频和高频变量-Wavelet three decomposition of the image and save the low-frequency and high-frequency variable
wave1
- 小波单尺度和多尺度的分解和重构,显示最低频和所有高频系数及重构信号-Wavelet single-scale and multi-scale decomposition and reconstruction, show the low-frequency and high-frequency coefficients and the reconstructed signal
123
- dwt数字水印对二、三层中的中频、高频小波系数进行操作。因为第二、三 层的小波系数是上一层低频系数进一步分解得到的结果-dwt digital watermarking, three intermediate frequency, high-frequency wavelet coefficients. Second, the wavelet coefficients of the three is a layer of low-frequency coefficients further
Images-denoising--based-on-wavlet
- 从原始图像产生噪声图像,使用db1执行2层小波,使用wpbmpen进行全阈值选择,采用硬阈值和软阈值处理方式,保存低频,进行图像降噪,并绘制各分解系数图像。-Generated noise image from the original image, using db1 wavelet perform two layers using wpbmpen full-threshold selection, using hard threshold and soft threshold approac
mple6_2
- 用MATLAB实现对一语音信号用不同小波进行分解,提取各层的高低频系数,画出各系数波形,并重构。-Using MATLAB to a voice signal using different wavelet decomposition to extract layers of high and low frequency coefficients, each coefficient draw waveforms and reconstruction.
xiaobos2
- 用于基于matlab的小波分析(去噪,重构,低频高频分解),对小波的分析具有十分重要的作用。-Based on matlab wavelet analysis (denoising, refactoring, low frequency high frequency decomposition), and the wavelet analysis plays an important role.
wavelet-decomposition
- 基于MATLAB语言,分别用不同小波对一图象分解,观察高低频部分进行重构,比较重构误差,再进行阈值消 噪,比较消噪前后图象。-Based on MATLAB language, respectively, with different wavelet decomposition of an image, observe high frequency part of the reconstruction, comparative reconstruction error, then the thr
4.image-fusion-algorithm
- 基于HSV与小波包分析的遥感图像融合,首先多光谱图像转换到HSV空间,再与全息图像分别进行小波包分解,然后低频与高频各自采用不同的融合方法,最后得到融合图像。-image fusion
xiaobofangli
- 小波变换分解低频和高频,并计算能谱熵用以区分区内外故障-Wavelet transform is decomposed into high and low frequency, and energy entropy calculation for partitions inside and outside the fault zone
lililili
- 小波变换,对于一个给定信号进行小波变换后分解得到的低频和高频信号进行叠加,得到重构的原始波形!-Transform, for low and high frequency signal to a given signal wavelet transform decomposed superimposed to obtain the reconstructed original waveform!
eg5_6
- 二维离散小波单层和双层分解,并提取高低频系数,从而重构原始图像,并利用MATLAB提供的压缩函数进行图像压缩,对比前后压缩图像的效果-2d discrete wavelet decomposition of single and double, extract high frequency coefficients, reconstruct the original image, image compression
xiaobobao-fenjie-yu-zhonggou-
- 一维小波包在matlab分解六层分解,与重构,可得高低频。与原高低频对比。- One dimensional wavelet packet decomposition in the MATLAB decomposition of the six layer, and the reconstruction can be HISTEP low frequency. Contrast with the original high and low frequency.
M
- 小波去噪,将噪声信号分解成低频与高频。采用类小波阈值去噪-Wavelet denoising the decomposed signal into low and high frequency noise. Wavelet thresholding using Class
基于 QR 码的自适应抗打印扫描水印算法
- 提出一种基于 QR 码的自适应抗打印扫描盲水印算法。方法 首先对载体 QR 码进行三级小 波变换,并对低频部分进行 4×4 分块 Schur 分解,然后利用子块酉矩阵的系数差值的稳定性,将二值 水印信息自适应嵌入到载体 QR 码中,最后对含水印 QR 码打印扫描并提取出水印信息。同时,算法实 现了盲提取。结果 算法能较好抵抗打印扫描攻击,并对高斯噪声、椒盐噪声、斑纹噪声、泊松噪声、 JPEG 压缩等攻击具有较强的鲁棒性。结论 算法具有较强的抗打印扫描性能,可以广泛应用于数字产品 的版权保