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

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 th...

Full description

Saved in:
Bibliographic Details
Main Authors: LIM, W.K., Nia, M. E., Tso, Chih Ping., Sim, K. S.
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/85648
http://hdl.handle.net/10220/18084
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-85648
record_format dspace
spelling sg-ntu-dr.10356-856482020-03-07T13:19:25Z Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation LIM, W.K. Nia, M. E. Tso, Chih Ping. Sim, K. S. School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering 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. 2013-12-05T03:49:12Z 2019-12-06T16:07:50Z 2013-12-05T03:49:12Z 2019-12-06T16:07:50Z 2012 2012 Journal Article 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. 0022-2720 https://hdl.handle.net/10356/85648 http://hdl.handle.net/10220/18084 10.1111/j.1365-2818.2012.03657.x en Journal of microscopy
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering
spellingShingle DRNTU::Engineering::Mechanical engineering
LIM, W.K.
Nia, M. E.
Tso, Chih Ping.
Sim, K. S.
Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation
description 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.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
LIM, W.K.
Nia, M. E.
Tso, Chih Ping.
Sim, K. S.
format Article
author LIM, W.K.
Nia, M. E.
Tso, Chih Ping.
Sim, K. S.
author_sort LIM, W.K.
title Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation
title_short Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation
title_full Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation
title_fullStr Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation
title_full_unstemmed Performance of new signal-to-noise ratio estimation for SEM images based on single image noise cross-correlation
title_sort performance of new signal-to-noise ratio estimation for sem images based on single image noise cross-correlation
publishDate 2013
url https://hdl.handle.net/10356/85648
http://hdl.handle.net/10220/18084
_version_ 1681044135111294976