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- 本文是针对小波对数字图像处理中的应用，运用分解与重构 实现去噪的目的-This article is a digital image processing applications, the use of wavelet decomposition and reconstruction to achieve denoising purpose
several-wavelet-transform
- 本资源包含几种常用的小波变换，并用于图像的分解与重构，能够用于图像去噪，融合等领域。-This resource contains several commonly used wavelet transform, and used for image decomposition and reconstruction, can be used for image denoising, fusion and other fields.
sanji
- 小波变换三级分解与重构程序，用于图形图像处理，去噪等研究的基础-The basis of wavelet transform three decomposition and reconstruction program for the study of the graphic image processing, denoising
a-trous-wavele
- 采用多孔小波a trous 实现对图像的分解与重构，可对学习小波变换人员提供参考可借鉴-A trous image decomposition and reconstruction using multi Kong Xiaobo learning wavelet transform can learn
Mallat_2ceng
- mallat算法实现信号的分解与重构，这里实现了一维信号的2层分解，并且用db1和db2小波两种小波进行比较-the mallat signal decomposition and reconstruction algorithm here to achieve a one-dimensional signal layer decomposition, and compared with db1 and db2 wavelet two
xiaobo7wavelet
- 用小波函数进行分解与重构信号，通过重构信号在进行基音检测的运算-Wavelet function decomposition and reconstruction signal through the reconstructed signal during operation pitch detection
wavelet_denosie
- 小波变换去噪：1.小波分解2.阈值处理3.小波重构。 通过以上三步实现信号去噪，程序中可设定分解级数与信噪比等参数。-Wavelet denoising: 1. Wavelet decomposition 2 threshold processing 3. Wavelet reconstruction. Through the above three steps to achieve signal de-noising, the pro
jeegall
- matlab下编写的基于哈尔小波的分解与重构函数-matlab prepared based on the Haar wavelet decomposition and reconstruction functions
Wavelet-signal-decomposition
- 小波信号分解与重构的Matlab程序，分享一下。-Wavelet signal decomposition and reconstruction of the Matlab program to share.
1
- 采用haar小波实现一维信号的分解与重构（mallat算法）：-Used to achieve one-dimensional signal haar wavelet decomposition and reconstruction (mallat algorithm):
2
- 采用haar小波实现二维图像的分解与重构（mallat算法）：-Two-dimensional image using haar wavelet decomposition and reconstruction (mallat algorithm):
5
- 采用haar小波实现一维信号的分解与重构（à trous算法）：-Used to achieve one-dimensional signal haar wavelet decomposition and reconstruction (trous algorithm):
6
- 采用haar小波实现二维图像的分解与重构（à trous算法）-Two-dimensional image using haar wavelet decomposition and reconstruction (trous algorithm)
xiaobozongjie
- 小波分析用于去噪,图像压缩，边界扭曲，分解与重构，图像融合，数字水印，边缘检测例子源码-Wavelet analysis for denoising, image compression, border distortion, decomposition and reconstruction, image fusion, digital watermarking, edge detection source code examples
DWT
- 用DWT实现二维小波变换 二维小波分解 重构图形与原始图像误值-With the realization of two-dimensional wavelet transform DWT wavelet decomposition of two-dimensional graphic reconstruction of the original image with the wrong value
mallat
- Mallat算法 应用Mallat算法实现两个正弦混合波的分解与重构,采用db30小波作为小波函数，阶数n=6-Mallat algorithm
7
- 本文提出一种基于边缘自适应小波变换的多尺度图像修复算法，对非纹理图像有比较好的修复效 果。边缘自适应小波变换的基本思想是，先检测出图像的主要边缘，这些边缘把图像分割成几个平滑区，然后 对图像进行不跨越边缘的小波分解，即在各平滑区内部进行小波变换，得到图像的多尺度表示，并且同时计算 边缘的多尺度表示。这样的小波分解使高频信息基本都集中在边缘上，而高频系数则非常稀疏，而且都接近 于零。在此基础上进行图像修复，就只需要对低频部
haar
- Haar小波的分解与重构,供大学学习小波使用-the decomposition and reconsitution of Haar wavelet
DWT
- 用DWT实现二维小波变换 二维小波分解 重构图形与原始图像误值-With the realization of two-dimensional wavelet transform DWT wavelet decomposition of two-dimensional graphic reconstruction of the original image with the wrong value
improved-OMP
- 改进的分块压缩感知程序，小波——分块压缩感知程序，对图像的分解与重构，效果一般，有待改进-Improved block compressed sensing program, wavelet - block compressed sensing program, the image decomposition and reconstruction, the general effect, could be improved