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Title: Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation
Authors: LIM, W.K.
Nia, M. E.
Tso, Chih Ping.
Sim, K. S.
Keywords: DRNTU::Engineering::Mechanical engineering
Issue Date: 2012
Source: Sim, K. S., Nia, M. E., Tso, C. P., & LIM, W. K. (2012). Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation. Journal of microscopy, 248(2), 120-128.
Series/Report no.: Journal of microscopy
Abstract: A new technique for estimation of signal-to-noise ratio in scanning electron microscope images is reported. The method is based on the image noise cross-correlation estimation model recently developed. We derive the basic performance limits on a single image signal-to-noise ratio estimation using the Cramer–Rao inequality. The results are compared with those from existing estimation methods including the nearest neighbourhood (the simple method), the first order linear interpolator, and the autoregressive based estimator. The comparisons were made using several tests involving different images within the performance bounds. From the results obtained, the efficiency and accuracy of image noise cross-correlation estimation technique is considerably better than the other three methods.
ISSN: 0022-2720
DOI: 10.1111/j.1365-2818.2012.03657.x
Schools: School of Mechanical and Aerospace Engineering 
Fulltext Permission: none
Fulltext Availability: No Fulltext
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