Improved Impulse Noise Removal with Generalized Median Filter
The median filter is widely used for removing impulse noise in images due to its good denoising property whilst maintaining reasonably edge preservation. When the noise level is large, it can be further improved by combining with a detail-preserving regularization to ensure satisfactory edge recover...
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| Format: | Conference Paper |
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IEEE
2015
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| Online Access: | http://hdl.handle.net/20.500.11937/45347 |
| _version_ | 1848757257503768576 |
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| author | Pham, DucSon |
| author2 | Jamie Sherrah |
| author_facet | Jamie Sherrah Pham, DucSon |
| author_sort | Pham, DucSon |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The median filter is widely used for removing impulse noise in images due to its good denoising property whilst maintaining reasonably edge preservation. When the noise level is large, it can be further improved by combining with a detail-preserving regularization to ensure satisfactory edge recovery. We propose an improvement over a state-of-the-art impulse noise removal method which was demonstrated to cope well with very high impulsive noise levels. We introduce a novel generalized median filter, which is a new perspective based on latest advances in matrix decomposition and allows an explicit noise modelling. We provide comprehensive theoretical justifications for the proposed generalized median filter and demonstrate its effectiveness in recovering noisy images tempered with salt-and-pepper corruptions when combined with detail-preserving regularization over other relevant alternatives. |
| first_indexed | 2025-11-14T09:25:13Z |
| format | Conference Paper |
| id | curtin-20.500.11937-45347 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:25:13Z |
| publishDate | 2015 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-453472017-09-13T15:41:23Z Improved Impulse Noise Removal with Generalized Median Filter Pham, DucSon Jamie Sherrah convex optimization median filtering nonlinear filtering salt-and-pepper noise removal detail-preserving regularization The median filter is widely used for removing impulse noise in images due to its good denoising property whilst maintaining reasonably edge preservation. When the noise level is large, it can be further improved by combining with a detail-preserving regularization to ensure satisfactory edge recovery. We propose an improvement over a state-of-the-art impulse noise removal method which was demonstrated to cope well with very high impulsive noise levels. We introduce a novel generalized median filter, which is a new perspective based on latest advances in matrix decomposition and allows an explicit noise modelling. We provide comprehensive theoretical justifications for the proposed generalized median filter and demonstrate its effectiveness in recovering noisy images tempered with salt-and-pepper corruptions when combined with detail-preserving regularization over other relevant alternatives. 2015 Conference Paper http://hdl.handle.net/20.500.11937/45347 10.1109/DICTA.2015.7371272 IEEE restricted |
| spellingShingle | convex optimization median filtering nonlinear filtering salt-and-pepper noise removal detail-preserving regularization Pham, DucSon Improved Impulse Noise Removal with Generalized Median Filter |
| title | Improved Impulse Noise Removal with Generalized Median Filter |
| title_full | Improved Impulse Noise Removal with Generalized Median Filter |
| title_fullStr | Improved Impulse Noise Removal with Generalized Median Filter |
| title_full_unstemmed | Improved Impulse Noise Removal with Generalized Median Filter |
| title_short | Improved Impulse Noise Removal with Generalized Median Filter |
| title_sort | improved impulse noise removal with generalized median filter |
| topic | convex optimization median filtering nonlinear filtering salt-and-pepper noise removal detail-preserving regularization |
| url | http://hdl.handle.net/20.500.11937/45347 |