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.
|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, Robert Penm|
|Place of Publication||Rivett|
|Number of pages||10|
|Publication status||Published - 2008|
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.