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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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
Depositing User: Assoc Prof Dr Nidal Kamel
Date Deposited: 18 Mar 2011 08:14
Last Modified: 19 Jan 2017 08:27

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