Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/57418
Title: Single-image signal-to-noise ratio estimation
Authors: Thong, J.T.L. 
Sim, K.S. 
Phang, J.C.H. 
Keywords: Autocorrelation
Image signal-to-noise ratio
Noise
Scanning electron microscopy
Issue Date: 2001
Source: Thong, J.T.L.,Sim, K.S.,Phang, J.C.H. (2001). Single-image signal-to-noise ratio estimation. Scanning 23 (5) : 328-336. ScholarBank@NUS Repository.
Abstract: A method for estimating the signal-to-noise ratio from a single image is presented in this paper. The autocorrelation-based technique requires that image details be correlated over distances of a few pixels, while the noise is assumed to be uncorrelated from pixel to pixel. The latter is shown to be a good approximation in the case of scanning electron microscope (SEM) images provided that the video signal is not band limited. The noise component is derived from the difference between the image autocorrelation at zero offset and an estimate of the corresponding noise-free autocorrelation. Nonlinear effects introduced by intensity saturation and their implications on the image signal-to-noise ratio are also discussed.
Source Title: Scanning
URI: http://scholarbank.nus.edu.sg/handle/10635/57418
ISSN: 01610457
Appears in Collections:Staff Publications

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