Noise-adaptive rational filter
A new rational filter (RF), called noise-adaptive rational filter (NARF), is de- veloped in this thesis to deal with image smoothing in non-impulsive noise (e.g., Gaussian noise) environment. In our development, one-dimensional optimal NARF is first derived that yields the least mean-square error. F...
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| Format: | Thesis |
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2008
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| Online Access: | http://hdl.handle.net/10356/3697 |
| _version_ | 1811690980411179008 |
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| author | Wang, Xuwei. |
| author2 | Ma, Kai-Kuang |
| author_facet | Ma, Kai-Kuang Wang, Xuwei. |
| author_sort | Wang, Xuwei. |
| collection | NTU |
| description | A new rational filter (RF), called noise-adaptive rational filter (NARF), is de- veloped in this thesis to deal with image smoothing in non-impulsive noise (e.g., Gaussian noise) environment. In our development, one-dimensional optimal NARF is first derived that yields the least mean-square error. For image processing, the derived one-dimensional filter is then extended to two-dimensional optimal NARF. Since the optimal NARF is not feasible due to its involvement on the original signal samples, the performance can only be considered as the theoretical reference. In practice, a nonlinear term is proposed to approximate those unavailable signal sam- ples |
| first_indexed | 2024-10-01T06:12:37Z |
| format | Thesis |
| id | ntu-10356/3697 |
| institution | Nanyang Technological University |
| last_indexed | 2024-10-01T06:12:37Z |
| publishDate | 2008 |
| record_format | dspace |
| spelling | ntu-10356/36972023-07-04T15:11:28Z Noise-adaptive rational filter Wang, Xuwei. Ma, Kai-Kuang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits A new rational filter (RF), called noise-adaptive rational filter (NARF), is de- veloped in this thesis to deal with image smoothing in non-impulsive noise (e.g., Gaussian noise) environment. In our development, one-dimensional optimal NARF is first derived that yields the least mean-square error. For image processing, the derived one-dimensional filter is then extended to two-dimensional optimal NARF. Since the optimal NARF is not feasible due to its involvement on the original signal samples, the performance can only be considered as the theoretical reference. In practice, a nonlinear term is proposed to approximate those unavailable signal sam- ples Master of Science (Signal Processing) 2008-09-17T09:35:26Z 2008-09-17T09:35:26Z 2004 2004 Thesis http://hdl.handle.net/10356/3697 Nanyang Technological University application/pdf |
| spellingShingle | DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits Wang, Xuwei. Noise-adaptive rational filter |
| title | Noise-adaptive rational filter |
| title_full | Noise-adaptive rational filter |
| title_fullStr | Noise-adaptive rational filter |
| title_full_unstemmed | Noise-adaptive rational filter |
| title_short | Noise-adaptive rational filter |
| title_sort | noise adaptive rational filter |
| topic | DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits |
| url | http://hdl.handle.net/10356/3697 |
| work_keys_str_mv | AT wangxuwei noiseadaptiverationalfilter |