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testnonlocalmean
- 这是一个非局部均值算法实现工具和相关实验数据，主要用来实现图像增强和降噪应用-This is a non-local means algorithm to achieve the tools and related experimental data, mainly used for image enhancement and noise reduction application
nmlgb
- 非局部均值滤波的主要代码,运用到数字图像处理的降噪，希望有用。-Non-local mean filtering code, the use of digital image processing, noise reduction, and I hope useful.
baynlm
- 贝叶斯非局部均值降噪c代码，非局部均值降噪被视为当前降噪效果最佳的一种降噪方法，基于贝叶斯理论的方法是其中较好的一种，这里采用c语言编写，能有效提高计算效率，或进行代码移植-C code for Bayesian Nonlocal Means Filter, Nonlocal Means noise reduction was seen for the noise reduction effect of the best a noise reduction method based on Bay
blindBAYNLM
- 图像降噪、贝叶斯估计、盲源降噪,采用盲源方法进行噪声估计，再进行贝叶斯非局部均值降噪-Image denoising, Bias estimation and blind source noise，The blind source method for noise estimation, then the Bayes non local mean noise reduction
NLM
- NLM非局部均值的降噪C代码，已经优化过了，速度明显提高，学要的可以下载一下-NLM non-local mean noise reduction C code, has been optimized, the speed was significantly improved, the study can be downloaded
快速非局部均值
- 快速非局部均值降噪算法。比较传统的速度更快，是基于论文《a non-local algorithm for image denoising》实现的(Fast non local means denoising algorithm.)
nlm
- 非局部均值（NL-means）是近年来提出的一项新型的去噪技术。该方法充分利用了图像中的冗余信息，在去噪的同时能最大程度地保持图像的细节特征。基本思想是：当前像素的估计值由图像中与它具有相似邻域结构的像素加权平均得到。(NL-means is a new denoise method. It utilized image's information, preserving detail while denoise.)