Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation

SIM, K.S. and NIA, M.E. and TSO, C.P. and 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). pp. 120-128. ISSN 00222720

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Official URL: http://dx.doi.org/10.1111/j.1365-2818.2012.03657.x

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 CramerRao 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.

Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 28 Dec 2012 07:30
Last Modified: 28 Dec 2012 07:30
URI: http://shdl.mmu.edu.my/id/eprint/3684

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