A comparison of the ARMA process, fixed order linear filter and nonlinear range filter for image noise reduction

Terence O'Neill, Jack H. W. Penm, Robert Penm, Steven Penm

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

A comparison of the noise reduction performance of three different filters, ARMA process (O'Neill and Penm, 2009), fixed order linear filter and nonlinear range filter has been undertaken in this paper. The findings indicate that the ARMA process demonstrates the best filter performance. As significant advances in powerful computing equipment have made for major innovations in statistical methods, the outcome of this paper shows the importance of developing of more increasingly sophisticated statistical approaches to electronic healthcare modelling and data analysis. As a result, the desirability and development of these approaches becomes essential, providing statisticians with a window of opportunity to make a significant contribution to the frontier of healthcare industry-oriented and academic research.
Original languageEnglish
Title of host publicationCollaborative research in electronic healthcare
Subtitle of host publicationBioinformatics, pharmacy informatics and computing
EditorsT. J. O'Neill, J Penm, Robert Penm
Place of PublicationRivett
PublisherEvergreen Publishing
Pages75-84
Number of pages10
ISBN (Print)9781921473982
Publication statusPublished - 2008

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Noise abatement
Statistical methods
Innovation
Industry

Cite this

O'Neill, T., Penm, J. H. W., Penm, R., & Penm, S. (2008). A comparison of the ARMA process, fixed order linear filter and nonlinear range filter for image noise reduction. In T. J. O'Neill, J. Penm, & R. Penm (Eds.), Collaborative research in electronic healthcare: Bioinformatics, pharmacy informatics and computing (pp. 75-84). Rivett: Evergreen Publishing.
O'Neill, Terence ; Penm, Jack H. W. ; Penm, Robert ; Penm, Steven. / A comparison of the ARMA process, fixed order linear filter and nonlinear range filter for image noise reduction. Collaborative research in electronic healthcare: Bioinformatics, pharmacy informatics and computing. editor / T. J. O'Neill ; J Penm ; Robert Penm. Rivett : Evergreen Publishing, 2008. pp. 75-84
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O'Neill, T, Penm, JHW, Penm, R & Penm, S 2008, A comparison of the ARMA process, fixed order linear filter and nonlinear range filter for image noise reduction. in TJ O'Neill, J Penm & R Penm (eds), Collaborative research in electronic healthcare: Bioinformatics, pharmacy informatics and computing. Evergreen Publishing, Rivett, pp. 75-84.

A comparison of the ARMA process, fixed order linear filter and nonlinear range filter for image noise reduction. / O'Neill, Terence; Penm, Jack H. W. ; Penm, Robert; Penm, Steven.

Collaborative research in electronic healthcare: Bioinformatics, pharmacy informatics and computing. ed. / T. J. O'Neill; J Penm; Robert Penm. Rivett : Evergreen Publishing, 2008. p. 75-84.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

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AB - A comparison of the noise reduction performance of three different filters, ARMA process (O'Neill and Penm, 2009), fixed order linear filter and nonlinear range filter has been undertaken in this paper. The findings indicate that the ARMA process demonstrates the best filter performance. As significant advances in powerful computing equipment have made for major innovations in statistical methods, the outcome of this paper shows the importance of developing of more increasingly sophisticated statistical approaches to electronic healthcare modelling and data analysis. As a result, the desirability and development of these approaches becomes essential, providing statisticians with a window of opportunity to make a significant contribution to the frontier of healthcare industry-oriented and academic research.

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O'Neill T, Penm JHW, Penm R, Penm S. A comparison of the ARMA process, fixed order linear filter and nonlinear range filter for image noise reduction. In O'Neill TJ, Penm J, Penm R, editors, Collaborative research in electronic healthcare: Bioinformatics, pharmacy informatics and computing. Rivett: Evergreen Publishing. 2008. p. 75-84