降噪
计算机科学
噪音(视频)
像素
人工智能
图像(数学)
计算机视觉
数字图像
过程(计算)
暗框减法
还原(数学)
算法
图像处理
图像复原
数学
操作系统
几何学
作者
Marc Lebrun,Miguel Colom,Antoni Buades,Jean‐Michel Morel
出处
期刊:Acta Numerica
[Cambridge University Press]
日期:2012-04-19
卷期号:21: 475-576
被引量:199
标识
DOI:10.1017/s0962492912000062
摘要
Digital images are matrices of equally spaced pixels, each containing a photon count. This photon count is a stochastic process due to the quantum nature of light. It follows that all images are noisy. Ever since digital images have existed, numerical methods have been proposed to improve the signal-to-noise ratio. Such ‘denoising’ methods require a noise model and an image model. It is relatively easy to obtain a noise model. As will be explained in the present paper, it is even possible to estimate it from a single noisy image.
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