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Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel

In the last two decades, a variety of techniques for signal-to-noise ratio (SNR) estimation in scanning electron microscope (SEM) images have been proposed. However, these techniques can be divided into two groups: first, SNR estimators of good accuracy, but based on impractical assumptions; second,...

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Main Author: Kamel , Nidal
Format: Citation Index Journal
Published: Published by FAMS, Inc., Foundation for Advances in Medicine and Science,at Mahwah,N .J.,U .S.A. 2004
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utp.edu.my/4703/1/Scanning_1.PDF
http://onlinelibrary.wiley.com/doi/10.1002/sca.4950260306/abstract
http://eprints.utp.edu.my/4703/
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spelling my.utp.eprints.47032017-01-19T08:27:34Z Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel Kamel , Nidal TK Electrical engineering. Electronics Nuclear engineering In the last two decades, a variety of techniques for signal-to-noise ratio (SNR) estimation in scanning electron microscope (SEM) images have been proposed. However, these techniques can be divided into two groups: first, SNR estimators of good accuracy, but based on impractical assumptions; second, estimators based on realistic assumptions but of poor accuracy. In this paper we propose the implementation of autoregressive (AR)-model interpolation as a solution to the problem. Unlike others, the proposed technique is based on a single SEM image and offers the required accuracy and robustness in estimating SNR values. Published by FAMS, Inc., Foundation for Advances in Medicine and Science,at Mahwah,N .J.,U .S.A. 2004-06 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/4703/1/Scanning_1.PDF http://onlinelibrary.wiley.com/doi/10.1002/sca.4950260306/abstract Kamel , Nidal (2004) Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel. [Citation Index Journal] http://eprints.utp.edu.my/4703/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kamel , Nidal
Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel
description In the last two decades, a variety of techniques for signal-to-noise ratio (SNR) estimation in scanning electron microscope (SEM) images have been proposed. However, these techniques can be divided into two groups: first, SNR estimators of good accuracy, but based on impractical assumptions; second, estimators based on realistic assumptions but of poor accuracy. In this paper we propose the implementation of autoregressive (AR)-model interpolation as a solution to the problem. Unlike others, the proposed technique is based on a single SEM image and offers the required accuracy and robustness in estimating SNR values.
format Citation Index Journal
author Kamel , Nidal
author_facet Kamel , Nidal
author_sort Kamel , Nidal
title Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel
title_short Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel
title_full Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel
title_fullStr Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel
title_full_unstemmed Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel
title_sort image signa-to-noise ratio estimation using the autoregressive model
publisher Published by FAMS, Inc., Foundation for Advances in Medicine and Science,at Mahwah,N .J.,U .S.A.
publishDate 2004
url http://eprints.utp.edu.my/4703/1/Scanning_1.PDF
http://onlinelibrary.wiley.com/doi/10.1002/sca.4950260306/abstract
http://eprints.utp.edu.my/4703/
_version_ 1738655363079602176
score 13.18916

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