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

Kamel , Nidal (2004) Image Signa-to-Noise Ratio Estimation Using the Autoregressive MOdel. [Citation Index Journal]

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Official URL: http://onlinelibrary.wiley.com/doi/10.1002/sca.495...

Abstract

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.

Item Type:Citation Index Journal
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE:Departments > Electrical & Electronic Engineering
ID Code:4703
Deposited By: Assoc Prof Dr Nidal Kamel
Deposited On:18 Mar 2011 08:14
Last Modified:19 Jan 2017 08:27

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