Description: 现在在所有图像去噪滤波中最较理想的去噪算法——Bayesian Least Squares - Gaussian Scale Mixture的matlab实现代码，应用丰富，与商用图像处理软件媲美，其原理可以参见J Portilla, V Strela, M Wainwright, E P Simoncelli, \"Image Denoising
using Scale Mixtures of Gaussians in the Wavelet Domain Platform: |
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Author:pudndcy |
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Description: 本程序可以实现图象的多尺度小波变换.本程序是基于matlab的．简单易用-This procedure can be achieved images of multi-scale wavelet transform. This procedure is based on the matlab. Easy-to-use Platform: |
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Author:yunqq |
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Description: matlab基于小波变换，进行图像多尺度分析，提取各尺度下的图像信息。
-Based on wavelet transform for image multi-scale analysis to extract the scale of the image information. Platform: |
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Author:dsdsds |
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Description: 对一维信号和而为图像的小波分解程序，包括单尺度分解和多尺度分解，未利用MATLAB中自带函数，完全自己实现-Signal and the one-dimensional wavelet decomposition of the image process, including single-and multi-scale decomposition decomposed using MATLAB, comes not function completely on my own to achieve Platform: |
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Author:11 |
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Description: 一些小波分析的matlab程序，包括单尺度和多尺度分解，以及重构程序-
Some matlab wavelet analysis procedures, including single-scale and multi-scale decomposition and reconstruction process Platform: |
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Author:lcy |
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Description: matlab的关于波形图像的源代码，小波分析，分级尺度的选择的介绍-Matlab about source code, the wave form of the wavelet analysis, the choice of grading scale is introduced Platform: |
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Author:王子娟 |
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Description: 使用维单尺度离散小波变换，通过迭代进行对低频进行单尺度离散小波分解，也可以达到对原图像进行多尺度分解的目的。而且若使用二维单尺度离散小波变换，各个系数的提取以及单支重构都有matlab现成的函数，很容易进行操作。唯一存在的问题是当避开二维多尺度离散变换函数，试图利用二维单尺度离散小波变换函数dwt2对每次分解后得到的低频系数不断进行处理时，在某些小波基的情况下会造成重构的失败。-Using the dimension discrete wavelet transform, the discrete wavelet transform is used to decompose the low frequency single scale discrete wavelet transform, and the multi scale decomposition of the original image can be achieved. And if the use of two-dimensional discrete wavelet transform, the coefficients of the extraction and single branch reconstruction have matlab off the shelf function, it is easy to operate. The only problem is when avoid two-dimensional multi-scale discrete transform function to using two-dimensional single scale discrete wavelet transform function dwt2 low-frequency coefficients of each decomposition continuous processing. In some wavelet bases will cause reconstruction failure.
双语对照
The only problem is when avoid two-dimensional multi-scale discrete transform function to using two-dimensional single scale discrete wavelet transform function dwt2 low-frequency coefficients of each decomposition continuous processing. In some wavelet bases will cause re Platform: |
Size: 2048 |
Author:张三 |
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Description: 小波变换 信号处理 通过伸缩平移运算对信号（函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节。(Wavelet transform signal processing through the telescopic translation operations to signal (function) step by step multi scale refinement, the final breakdown of time at high frequency, low frequency subdivision, can automatically adapt to the requirements of time-frequency signal analysis, which can focus on any signal details.) Platform: |
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Author:木木-1213
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Description: 根据现有的程序，对两幅图像分别进行二维小波变换，分别对变换后得到的水平，垂直以及对角细节子带的小波系数进行直方图统计，然后用广义高斯函数去近似三个直方图，分别得到尺度参数和形状参数，求出对应图像的KL距离。(According to the existing programs, the two images respectively, two-dimensional wavelet transform respectively to levels after transformation, vertical and diagonal detail subband of wavelet coefficient histogram statistics, then use the generalized gaussian function to approximate three histogram, scale and shape parameters, respectively and the corresponding image KL distance.) Platform: |
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Author:whitney4459
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Description: 小波变换(wavelet transform，WT)是一种新的变换分析方法，它继承和发展了短时傅立叶变换局部化的思想，同时又克服了窗口大小不随频率变化等缺点，能够提供一个随频率改变的"时间-频率"窗口，是进行信号时频分析和处理的理想工具。它的主要特点是通过变换能够充分突出问题某些方面的特征，能对时间(空间)频率的局部化分析，通过伸缩平移运算对信号(函数)逐步进行多尺度细化，最终达到高频处时间细分，低频处频率细分，能自动适应时频信号分析的要求，从而可聚焦到信号的任意细节，解决了Fourier变换的困难问题，成为继Fourier变换以来在科学方法上的重大突破。(Wavelet transform (WT) is a new transform analysis method. It inherits and develops the idea of localization of short-time Fourier transform and overcomes the shortcomings that window size does not vary with frequency. It can provide a frequency-dependent The Time-Frequency window is ideal for time-frequency analysis and processing of signals. Its main feature is that by transforming some features that can fully highlight some aspects of the problem, the localization of the time (space) frequency can be analyzed, and the signal (function) can be gradually and multi-scale refined by the scaling operation, finally reaching the high frequency Time subdivision, frequency subdivision at low frequencies, can automatically adapt to the requirements of time-frequency signal analysis, which can focus on any details of the signal to solve the difficulties of Fourier transform has become a major breakthrough in the scientific method since Fourier transform.) Platform: |
Size: 1024 |
Author:丁帅 |
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Description: 通过B样条函数构造小波函数，由原信号获得对应的尺度函数，最后得到小波函数(The wavelet function is constructed by the B spline function, and the corresponding scale function is obtained from the original signal. Finally, the wavelet function is obtained.) Platform: |
Size: 1024 |
Author:追不上你的美 |
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Description: 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 reconstruction.) Platform: |
Size: 476160 |
Author:凯撒11 |
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