Optimum healthcare image smoothing and restoration based on the two-dimensional ARMA model

Terence O'Neill; Jack H W Penm; Jonathan Penm

Optimum healthcare image smoothing and restoration based on the two-dimensional ARMA model

Terence O'Neill, Jack H W Penm, Jonathan Penm

Bond Business School

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

Abstract

A two-dimensional autoregressive - moving average (ARMA) model has been recently developed by Penm (1999) which leads to optimum recursive enhancement procedures for realistic image data. This paper considers the application of these electronic healthcare informatics procedures to data whose spatial covariance function appears to vary exponentially with Euclidean distance. Specifically, the identification problem is considered, an optimal recursive algorithm based on a two-dimensional ARMA model is developed for a specific example, and this algorithm is compared with the ad-hoc method of successive orthogonalisation approximations.

Original language	English
Title of host publication	Collaborative research in electronic healthcare
Subtitle of host publication	Bioinformatics, pharmacy informatics and computing
Editors	T.J. O'Neill, J. Penm, R.D. Terrell
Place of Publication	Rivett
Publisher	Evergreen Publishing
Pages	86-106
Number of pages	21
ISBN (Print)	9781921473982
Publication status	Published - 2008

Cite this

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title = "Optimum healthcare image smoothing and restoration based on the two-dimensional ARMA model",

abstract = "A two-dimensional autoregressive - moving average (ARMA) model has been recently developed by Penm (1999) which leads to optimum recursive enhancement procedures for realistic image data. This paper considers the application of these electronic healthcare informatics procedures to data whose spatial covariance function appears to vary exponentially with Euclidean distance. Specifically, the identification problem is considered, an optimal recursive algorithm based on a two-dimensional ARMA model is developed for a specific example, and this algorithm is compared with the ad-hoc method of successive orthogonalisation approximations.",

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Optimum healthcare image smoothing and restoration based on the two-dimensional ARMA model. / O'Neill, Terence; Penm, Jack H W; Penm, Jonathan.
Collaborative research in electronic healthcare: Bioinformatics, pharmacy informatics and computing. ed. / T.J. O'Neill; J. Penm; R.D. Terrell. Rivett: Evergreen Publishing, 2008. p. 86-106.

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Research › peer-review

TY - CHAP

T1 - Optimum healthcare image smoothing and restoration based on the two-dimensional ARMA model

AU - O'Neill, Terence

AU - Penm, Jack H W

AU - Penm, Jonathan

PY - 2008

Y1 - 2008

N2 - A two-dimensional autoregressive - moving average (ARMA) model has been recently developed by Penm (1999) which leads to optimum recursive enhancement procedures for realistic image data. This paper considers the application of these electronic healthcare informatics procedures to data whose spatial covariance function appears to vary exponentially with Euclidean distance. Specifically, the identification problem is considered, an optimal recursive algorithm based on a two-dimensional ARMA model is developed for a specific example, and this algorithm is compared with the ad-hoc method of successive orthogonalisation approximations.

AB - A two-dimensional autoregressive - moving average (ARMA) model has been recently developed by Penm (1999) which leads to optimum recursive enhancement procedures for realistic image data. This paper considers the application of these electronic healthcare informatics procedures to data whose spatial covariance function appears to vary exponentially with Euclidean distance. Specifically, the identification problem is considered, an optimal recursive algorithm based on a two-dimensional ARMA model is developed for a specific example, and this algorithm is compared with the ad-hoc method of successive orthogonalisation approximations.

UR - http://trove.nla.gov.au/work/34122442?selectedversion=NBD49007811

M3 - Chapter

SN - 9781921473982

SP - 86

EP - 106

BT - Collaborative research in electronic healthcare

A2 - O'Neill, T.J.

A2 - Penm, J.

A2 - Terrell, R.D.

PB - Evergreen Publishing

CY - Rivett

ER -

Optimum healthcare image smoothing and restoration based on the two-dimensional ARMA model

Abstract

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