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wavlet
- 离散正交小波变换及小波重构，程序中给出测试数据，可得到这组数据小波分解后的低频分量和重构以后的数据-Discrete orthogonal wavelet transform and wavelet reconstruction, procedures given in the test data, available in this set of data after wavelet decomposition and reconstruction after low-frequency co
WaveletTransform
- 利用二维小波分析对一幅图象作2层小波分解,并在此基础上提取各层的低频信息实现图像的压缩.-The use of two-dimensional wavelet analysis of images for a 2-layer wavelet decomposition, and on this basis the low-frequency information extracted all levels to achieve image compression.
63535316jiqishijue
- 视频文字识别在视频分析与检索中有着重要作用,该算法对字幕图像进行N层小波分解,获得该视频文字的低频分量,再借助相似性度量方法实现视频文字的识别。-Video character recognition in the video analysis and retrieval plays an important role in the algorithm of subtitles images N layer wavelet decomposition, which is low-frequenc
a2
- 传统小波阈值去噪法 小波阈值收缩法去噪的主要依据是：小波变换特别是正交小波变换具有很强的去数据相关性，它能够使图像的能量在小波域集中在一些大的小波系数中；而噪声的能量却分布于整个小波域内，因此，经小波分解后，图像的小波系数幅值要大于噪声的系数幅值，可以认为，幅值比较大的小波系数一般以图像信号为主，而幅值比较小的小波系数在很大程度上是噪声。于是采用阈值的办法可以把信号系数保留，而使大部分噪声系数减少至零[-Study on Algorithm of Image Denosing Based o
Studyonoptimalwaveletdecompositionlevel
- 图像融合 分解层数 小波变换 多聚焦图像融合的最佳小波分解层数为5 层-Image fusion decomposition level wavelet transform multi-focus image fusion of the best wavelet decomposition of 5-storey low-rise
Example2_6_1
- 对图像的小波分解与重构，并且进行阈值滤波，对滤波前后的图像进行了对比-The image of the wavelet decomposition and reconstruction, and the threshold to filter the images before and after filtering were compared
test2_wavelet_decomposing
- 用两种方法做边缘检测并对比其效果：传统算子和小波分解去噪后得到的近似系数图像后提取边缘-Two ways to do edge detection and contrast the effect: the traditional operator and after denoising wavelet decomposition coefficients of the approximate image after the edge extraction
untitled
- 用matlab实现图像小波分解-Matlab image with wavelet decomposition
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
2D-Wavelet-Transformation
- 用DWT实现二维小波变换,调原始图像矩阵后进行二维小波分解，重构源图像及结果显示-Wavelet transform in 2-D dimentation
li11_7
- 利用小波分解，去掉图像高频部分，只保留低频部分的图像压缩实例-The use of wavelet decomposition to remove high-frequency part of the image, leaving only the low-frequency part of the image compression examples
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.
db8
- 小波分解和重构的算法，分析了信噪比，可自行定义分解级数-wavelet alg for image
result
- 实现图像小波分解，可以自行指定分解级数，采用daubenchies小波-Achieve the wavelet decomposition, you can specify the decomposition of their own series, using wavelet daubenchies
cwt
- 对512*512图像做小波分解和复原，可以直接运行-, For 512* 512 image to do wavelet decomposition and recovery
2Dwavelet
- 该程序用来实现对图片的多级小波分解！提取多级分解后各子带的小波系数！-The program is used to achieve multi-level wavelet decomposition of an image! And extraction of multi-level decomposition of the wavelet coefficients of each sub-band!
wavelet-image
- 二维图像信号的去噪步骤： （1）二维图像信号的小波分解。选择合适的小波与恰当的分解层次N，并对待压缩的二维图像信号进行N层分解计算。 （2）对分解后的每一层高频系数，选择一个恰当的阈值，并对该层高频系数进行软阈值量化处理。 （3）二维图像信号的小波重构。用小波分解后的第N层近似（低频系数）和经过阈值量化处理后的各层细节（高频系数），对二维信号进行小波重构。-Two-dimensional image signal denoising steps: (1) two-dimensiona
小波去噪
- 运用小波阈值实现图像去噪，同时有小波的分解与重构。(Wavelet threshold is used to realize image denoising and wavelet decomposition and reconstruction.)
W-M方程与小波变换
- 应用W-M函数建立了分形粗糙表面轮廓，用小波变换对其进行分解，考察了小波变换方法对原轮廓曲线的还原情况(The fractal rough surface profile is established by W-M function, and the wavelet transform is used to decompose it. The reduction of the original contour curve is investigated by the wavelet transf
小波分析 编程
- 小波分析的各种尺度分解包括单尺度分解，多尺度分解以及小波包分解及重构，小波分解重构精简(All kinds of scale decomposition of wavelet analysis include single scale decomposition, multi-scale decomposition, wavelet packet decomposition and reconstruction, and wavelet decomposition and reconstruct