Description: 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-complexity design
* HVS design Visual 9/3
-Description Perform 1D and 2D wavelet transforms in MATLAB. WAVELET(W,L,X) computes the L-stage discrete wavelet transform (DWT) of signal X using wavelet W. For the inverse transform, WAVELET(W,-L,X) inverts L stages. Included wavelets are
* 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-complexity design
* HVS design Visual 9/3 Platform: |
Size: 10240 |
Author:chen huayi |
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Description: 本实验要求开发一个基本的哈尔小波变换程序包，用于后续的实验。实验中使用哈尔基函数特有的“平均”与“差分”方法。首先要编写一个计算哈尔小波的j-尺度离散小波变换程序。并且要编写一个计算哈尔小波的j-尺度的逆离散小波程序，并用课本上的例7.8来验证所编写的程序-The experiment calls for the development of a basic package Haar wavelet transform for the follow-up experiment. Harki function used in the experiment-specific " average" and " difference" method. First of all, to be prepared a calculation of the Haar wavelet j-scale discrete wavelet transform procedures. And to prepare a calculation of the Haar wavelet scale j-inverse discrete wavelet procedures, and the cases of books to verify the preparation of 7.8 procedures Platform: |
Size: 9216 |
Author:jhm |
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Description: 自己编写离散小波变换与离散小波反变换程序对一幅图像做2级小波分解（离散小波变换）与合成（离散小波反变换）-Write your own discrete wavelet transform and discrete wavelet inverse transform procedure on an image to do two wavelet transform (DWT) and synthesis (discrete wavelet inverse transform) Platform: |
Size: 1024 |
Author:lana |
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Description: Wavelet Toolware is a companion software package to the book An
Introduction to Wavelets by Charles K. Chui. It is designed for the
reader to gain some hands-on practice in the subject of wavelets. The
objective is to provide basic signal analysis and synthesis tools that are
flexible enough for the reader to easily increase the capability of the
Toolware by adding processing algorithms to tailor to specific areas of
application. Wavelet Toolware contains, among other algorithms and
codes, the one-dimensional (1-D) and two-dimensional (2-D) Discrete
Wavelet Transforms (DWTs) and their inverse transforms, as well as
computations of the Continuous Wavelet Transform (CWT) and the
Short Time Fourier Transform (STFT).-Wavelet Toolware is a companion software package to the book An
Introduction to Wavelets by Charles K. Chui. It is designed for the
reader to gain some hands-on practice in the subject of wavelets. The
objective is to provide basic signal analysis and synthesis tools that are
flexible enough for the reader to easily increase the capability of the
Toolware by adding processing algorithms to tailor to specific areas of
application. Wavelet Toolware contains, among other algorithms and
codes, the one-dimensional (1-D) and two-dimensional (2-D) Discrete
Wavelet Transforms (DWTs) and their inverse transforms, as well as
computations of the Continuous Wavelet Transform (CWT) and the
Short Time Fourier Transform (STFT). Platform: |
Size: 3453952 |
Author:sawssenj |
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Description: 实现以下功能：装载信号；完成信号的单尺度一维离散小波分解；从系数中重构低频部分和高频部分；显示高频和低频部分；由小波逆变换恢复信号；多层一维分解；提取系数的低频和高频部分；重构第3层的低频系数；重构第1、2、3、4、5层的高频信号；重构原始信号并显示-Achieve the following functions: load signal complete signal single-scale one-dimensional discrete wavelet decomposition reconstructed from the coefficients in the low frequency and high frequency display high-frequency and low frequency restored by the inverse wavelet transform signal multi-layer one-dimensional decomposition extraction coefficient of low frequency and high frequency reconstruction of 3-layer low-frequency coefficients reconstruction of the first layer of high-frequency signal 1,2,3,4,5 reconstruct the original signal and display Platform: |
Size: 1024 |
Author:王艳 |
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Description: 二维和三维的离散双树小波正变换和逆变换，具有多方向分辨特性-Doubletree two-dimensional and three-dimensional discrete wavelet transform and inverse transform is, to distinguish features with multi-directional Platform: |
Size: 1892352 |
Author:王伟 |
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Description: This Program presents discrete wavelet transform (DWT) and its inverse (IDWT) with Haar wavelets as tools to compute the variable size interpolated versions of an image at optimum computational load. As a human observer moves closer to or farther a scene, the retinal image of the scene zooms in or out, respectively. This zooming in or out can be modeled using variable scale interpolation. -This Program presents discrete wavelet transform (DWT) and its inverse (IDWT) with Haar wavelets as tools to compute the variable size interpolated versions of an image at optimum computational load. As a human observer moves closer to or farther a scene, the retinal image of the scene zooms in or out, respectively. This zooming in or out can be modeled using variable scale interpolation. Platform: |
Size: 395264 |
Author:mohammed |
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Description: 本程序是基于单幅图像的超分辨率算法，通过对输入的高分辨率图像进行下采样得
% 到原始低分辨率图像，对输入的低分辨率图像插值后，利用DWT将低分辨率图像分
% 解为不同的4个子带；同时直接对对分辨率图像进行SWT处理。由SWT得到的高频子
% 带来修正DWT得到的高频子带。最后，通过逆离散小波变换（IDWT）组合修正的高
% 频子带和低分辨率图像，得到输出的超分辨率图像。通过计算PSNR和SSIM评价结果。(This program is a super-resolution algorithm based on a single image, which is sampled from the high resolution image of the input.
% to the original low resolution image, after interpolating the input low resolution image, the low resolution image is divided by DWT.
The% solution is different 4 subbands, and the resolution image is processed by SWT. High frequency subsets obtained by SWT
% brings the high frequency subband obtained by the modified DWT. Finally, the height of the combination of inverse discrete wavelet transform (IDWT)
% frequency subband and low resolution image, and the output super-resolution image is obtained. The results were evaluated by calculating PSNR and SSIM.) Platform: |
Size: 2048 |
Author:shuo111 |
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Search - inverse discrete wavelet transform