Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement.

Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement. Research Abstract Details 

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Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement. Abstract Text:

K S Sim,K K Law,C P Tso,K S Sim,K K Law,C P Tso,

A new filter is developed for the enhancement of scanning electron microscope (SEM) images. A mixed Lagrange time delay estimation auto-regression (MLTDEAR)-based interpolator is used to provide an estimate of noise variance to a standard Wiener filter. A variety of images are captured and the performance of the filter is shown to surpass the conventional noise filters. As all the information required for processing is extracted from a single image, this method is not constrained by image registration requirements and thus can be applied in real-time in cases where specimen drift is presented in the SEM image.

Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement. Publishing Authors By Initials

KS Sim,KK Law,CP Tso,KS Sim,KK Law,CP Tso,

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Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement. Journal Published:

PUBLICATION TYPE: Journal Article

Journal: Microscopy research and technique

VOLUME: 70

Page Numbers: 919-27

Journal Abbreviation: Microsc. Res. Tech.

ISSN: 1059-910X

DAY: 29

MONTH: Nov

YEAR: 2007

Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement. Information

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LANGUAGE: eng

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Grant and Affiliation Information for Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement.

AFFILIATION: Faculty of Engineering and Technology, Multimedia University, Melaka, Malaysia. kssim@mmu.edu.my

Country: United States

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MEDLINETA: Microsc Res Tech

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