Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model
We propose to cascade the Shape-Preserving Piecewise Cubic Hermite model with the Autoregressive Moving Average (ARMA) interpolator; we call this technique the Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average (SP2CHARMA) model. In a few test cases involving different images, th...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Published: |
WILEY-LISS, DIV JOHN WILEY & SONS INC
2008
|
| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/2191/ |
| _version_ | 1848789989030100992 |
|---|---|
| author | Sim, Kok Swee Wee, M. Y. LIM, W. K. |
| author_facet | Sim, Kok Swee Wee, M. Y. LIM, W. K. |
| author_sort | Sim, Kok Swee |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | We propose to cascade the Shape-Preserving Piecewise Cubic Hermite model with the Autoregressive Moving Average (ARMA) interpolator; we call this technique the Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average (SP2CHARMA) model. In a few test cases involving different images, this model is found to deliver an optimum solution for signal to noise ratio (SNR) estimation problems under different noise environments. The performance of the proposed estimator is compared with two existing methods: the autoregressive-based and autoregressive moving average estimators. Being more robust with noise, the SP2CHARMA. estimator has efficiency that is significantly greater than those of the two methods. Microsc. Res. Tech. 71:710-720, 2008. (C) 2008 Wiley-Liss, Inc. |
| first_indexed | 2025-11-14T18:05:28Z |
| format | Article |
| id | mmu-2191 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:05:28Z |
| publishDate | 2008 |
| publisher | WILEY-LISS, DIV JOHN WILEY & SONS INC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-21912020-12-29T06:42:31Z http://shdl.mmu.edu.my/2191/ Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model Sim, Kok Swee Wee, M. Y. LIM, W. K. Q Science (General) QH301 Biology We propose to cascade the Shape-Preserving Piecewise Cubic Hermite model with the Autoregressive Moving Average (ARMA) interpolator; we call this technique the Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average (SP2CHARMA) model. In a few test cases involving different images, this model is found to deliver an optimum solution for signal to noise ratio (SNR) estimation problems under different noise environments. The performance of the proposed estimator is compared with two existing methods: the autoregressive-based and autoregressive moving average estimators. Being more robust with noise, the SP2CHARMA. estimator has efficiency that is significantly greater than those of the two methods. Microsc. Res. Tech. 71:710-720, 2008. (C) 2008 Wiley-Liss, Inc. WILEY-LISS, DIV JOHN WILEY & SONS INC 2008-10 Article NonPeerReviewed Sim, Kok Swee and Wee, M. Y. and LIM, W. K. (2008) Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model. Microscopy Research and Technique, 71 (10). pp. 710-720. ISSN 1059910X http://dx.doi.org/10.1002/jemt.20610 doi:10.1002/jemt.20610 doi:10.1002/jemt.20610 |
| spellingShingle | Q Science (General) QH301 Biology Sim, Kok Swee Wee, M. Y. LIM, W. K. Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model |
| title | Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model |
| title_full | Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model |
| title_fullStr | Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model |
| title_full_unstemmed | Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model |
| title_short | Image signal-to-noise ratio estimation using Shape-Preserving Piecewise Cubic Hermite Autoregressive Moving Average model |
| title_sort | image signal-to-noise ratio estimation using shape-preserving piecewise cubic hermite autoregressive moving average model |
| topic | Q Science (General) QH301 Biology |
| url | http://shdl.mmu.edu.my/2191/ http://shdl.mmu.edu.my/2191/ http://shdl.mmu.edu.my/2191/ |