平滑的
非本地手段
降噪
图像去噪
像素
噪音(视频)
计算机科学
图像(数学)
阶跃检测
人工智能
双边滤波器
噪声测量
算法
视频去噪
中值滤波器
数字图像
计算机视觉
模式识别(心理学)
滤波器(信号处理)
图像处理
视频处理
视频跟踪
多视点视频编码
作者
Antoni Buades,B. Coll,Jean‐Michel Morel
出处
期刊:Computer Vision and Pattern Recognition
日期:2005-07-27
被引量:4804
摘要
We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide class of denoising algorithms, namely the local smoothing filters. Second, we propose a new algorithm, the nonlocal means (NL-means), based on a nonlocal averaging of all pixels in the image. Finally, we present some experiments comparing the NL-means algorithm and the local smoothing filters.
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