FastNLM
所属分类：图形图像处理
开发工具：C/C++
文件大小：798KB
下载次数：3
上传日期：2019-01-21 22:44:41
上 传 者：
rhgu
说明： 提供高性能快速影像去躁，这是一种非局部平均算法。何为局部平均滤波算法呢？那是在一个目标像素周围区域平滑取均值的方法，所以非局部均值滤波就意味着它使用图像中的所有像素，这些像素根据某种相似度进行加权平均。滤波后图像清晰度高，而且不丢失细节。
(fast non-local mean image denoise function)
文件列表:
FastNLM\.DS_Store (6148, 2017-11-12)
__MACOSX\FastNLM\._.DS_Store (120, 2017-11-12)
FastNLM\demo.m (1993, 2017-11-12)
__MACOSX\FastNLM\._demo.m (174, 2017-11-12)
FastNLM\images\.DS_Store (6148, 2017-11-12)
__MACOSX\FastNLM\images\._.DS_Store (174, 2017-11-12)
FastNLM\images\kodim23.png (557596, 2017-11-12)
__MACOSX\FastNLM\images\._kodim23.png (174, 2017-11-12)
FastNLM\images\man512.png (209817, 2017-11-12)
__MACOSX\FastNLM\images\._man512.png (174, 2017-11-12)
FastNLM\images\peppers256.png (40181, 2017-11-12)
__MACOSX\FastNLM\images\._peppers256.png (174, 2017-11-12)
__MACOSX\FastNLM\._images (174, 2017-11-12)
FastNLM\multipatchpacking.m (3078, 2017-11-12)
__MACOSX\FastNLM\._multipatchpacking.m (174, 2017-11-12)
FastNLM\ssim.m (6396, 2017-11-12)
__MACOSX\FastNLM\._ssim.m (174, 2017-11-12)
__MACOSX\._FastNLM (174, 2017-11-12)
license.txt (1315, 2017-11-12)
Fast Separable Non-Local Means
Authors: Sanjay Ghosh, and Kunal Narayan Chaudhury.
References:
1. S. Ghosh and K. N. Chaudhury, "Artifact reduction for separable non-local means," SPIE Journal of Electronic Imaging Letters, 2017.
2. S. Ghosh and K. N. Chaudhury, “Fast Separable Non-Local Means,” SPIE Journal of Electronic Imaging, vol. 25, no. 2, pp. 023026, 2016.
Functions:
demo.m : Denoising demo (works only for gray images).
multipatchpacking.m : core routine for fast NLM.
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