搜索资源列表
Pseudo-random_97-iter
- 伪随机采样，97小波迭代收缩压缩传感，效果不错，方法简单-Pseudo-random sampling, iterative shrinkage of wavelet compression sensor 97, the effect is good, simple
wavelet-threshold-shrinkage-
- 小波阈值收缩算法的matlab程序，对信号进行去噪得到纯净语音-Wavelet threshold shrinkage algorithms matlab program, get on the clean speech signal denoising
chengxu
- 小波变换域的图像滤波，基于双变量收缩函数的方法-Bivariate Shrinkage Functions for Wavelet-Based Denoising
code
- 小波域图像滤波，采用双变量收缩函数发实现-Bivariate Shrinkage Functions for Wavelet-Based Denoising
wodechengxu
- 小波变换域的图像滤波，基于双变量收缩函数的方法-Bivariate Shrinkage Functions for Wavelet-Based Denoising
wodechengxu870
- 小波变换域的图像滤波，基于双变量收缩函数方法-Bivariate Shrinkage Functions for Wavelet-Based Denoising
10.1.1.136.6437
- A New Wavelet Based Method for Denoising of Biological Signals shrinkage method based on a New Thresholding filter for denoising of biological signals is proposed
SARBM3D_win32
- Matlab和C的混编，用于SAR图像去相干斑，将处理加性噪声的BM3D推广到SAR。-Functions for Matlab for the denoising of a SAR image corrupted by multiplicative speckle noise with the technique described in "A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinka
BIO161
- Adapting to unknown smoothmess via wavelet shrinkage.
SARBM3D
- SARBM3D A Nonlocal SAR Image Denoising Algorithm Based on LLMMSE Wavelet Shrinkage
SARBM3D_win32
- BM3D的程序，基于最小均方误差准则。很好用-Date released 1/08/2012, version 0.1. Functions for Matlab for the denoising of a SAR image corrupted by multiplicative speckle noise with the technique described in A Nonlocal SAR Image Denoising Algorithm Based on LLM
paper4
- A comprehensive study on wavelet based shrinkage methods for denoising natural images
paper4
- Wavelet shrinkage unification of basic thresholding functions and thresholds
yasuoganzhiDeNoising
- 压缩感知图像处理，图像去噪与维纳滤波，小波收缩-Compressed sensing image processing, image denoising and wiener filtering, wavelet shrinkage
Infrared-Image-Enhancement
- 针对基于小波变换的红外图像增强方法视觉效果不够理想的缺点, 提出了一种基于平稳小波变换和Retinex 的红外图像增强方法, 利用Retinex 增强算法增强图像的视觉效果, 并改善其亮度均匀性。首先, 对红外图像经平稳小波变换后的最大尺度低频子带图像进行多尺度Retine x 增强 然后, 利用贝叶斯萎缩阈值法对高频子带图像进行阈值去噪, 并根据低频子带图像的局部对比度和模糊规则计算高频子带的增益系数, 从而得到增强后的高频子带图像 最后, 由低频子带图像和高频子带图像重构得到增强后的图像。针
bm3d0
- BM3D算法源代码。NLM去噪算法使用的是inter-patchcorrelation，而Wavelet shrinkage使用的则是intra-patch correlation。这两种方法都取得了不错的效果，一个很自然的想法就是：可以同时使用他们两个方法吗？这便导出了BM3D去噪算法[2]，算是现在公认的去噪效果最好的算法。-BM3D algorithm source code. NLM Denoising algorithm using inter-patchcorrelation, an