Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement
A new filter is developed for the enhancement of scanning electron microscope (SEM) images. A mixed La mange time delay estimation auto-regression (MLTDEAR)-based interpo lator is used to provide an estimate of noise variance to a standard Wiener filter. A variety of images are captured and the perf...
| Main Authors: | , , |
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| Format: | Article |
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WILEY-LISS
2007
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| Online Access: | http://shdl.mmu.edu.my/2984/ |
| _version_ | 1848790202207698944 |
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| author | Sim, K.S. Law, K.K. Tso, C.P. |
| author_facet | Sim, K.S. Law, K.K. Tso, C.P. |
| author_sort | Sim, K.S. |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | A new filter is developed for the enhancement of scanning electron microscope (SEM) images. A mixed La mange time delay estimation auto-regression (MLTDEAR)-based interpo lator 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. |
| first_indexed | 2025-11-14T18:08:52Z |
| format | Article |
| id | mmu-2984 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:08:52Z |
| publishDate | 2007 |
| publisher | WILEY-LISS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-29842011-09-29T07:01:52Z http://shdl.mmu.edu.my/2984/ Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement Sim, K.S. Law, K.K. Tso, C.P. T Technology (General) QA75.5-76.95 Electronic computers. Computer science A new filter is developed for the enhancement of scanning electron microscope (SEM) images. A mixed La mange time delay estimation auto-regression (MLTDEAR)-based interpo lator 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. WILEY-LISS 2007-11 Article NonPeerReviewed Sim, K.S. and Law, K.K. and Tso, C.P. (2007) Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement. Microscopy Research and Technique, 70 (11). pp. 919-927. ISSN 1059910X http://dx.doi.org/10.1002/jemt.20490 doi:10.1002/jemt.20490 doi:10.1002/jemt.20490 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Sim, K.S. Law, K.K. Tso, C.P. Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement |
| title | Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement |
| title_full | Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement |
| title_fullStr | Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement |
| title_full_unstemmed | Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement |
| title_short | Mixed lagrange time delay estimation autoregressive Wiener filter application for real-time SEM image enhancement |
| title_sort | mixed lagrange time delay estimation autoregressive wiener filter application for real-time sem image enhancement |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2984/ http://shdl.mmu.edu.my/2984/ http://shdl.mmu.edu.my/2984/ |