高斯噪声
数值噪声
估计员
图像噪声
梯度噪声
噪音(视频)
差异(会计)
计算机科学
人工智能
航程(航空)
噪声测量
像素
统计
算法
模式识别(心理学)
数学
图像处理
中值滤波器
降噪
复合材料
业务
材料科学
会计
图像(数学)
标识
DOI:10.1006/cviu.1996.0060
摘要
The paper presents a fast and simple method for estimating the variance of additive zero mean Gaussian noise in an image. The method can also be used to give a local estimate of the noise variance in the situation in which the noise variance varies across the image. It requires only the use of a 3 A— 3 mask followed by a summation over the image or a local neighborhood. A total of 14 integer operations per pixel is necessary. The method performs well for a large range of noise variance values. In highly textured images or regions, though, the noise estimator perceives thin lines as noise.
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