A New Multi-Layered Fuzzy Image Filter for Removing Impulse Noise
In this paper we develop a fuzzy image .lter which consists of a multi-layered fuzzy structure based on the weighted fuzzy blend filter for the removal of noise from images heavily corrupted by impulse noise, while preserving the intricate details of the image. The introduction of multi-layered fuzz...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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International Institute of Informatics and Cybernetics
2003-08-01
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| Series: | Journal of Systemics, Cybernetics and Informatics |
| Subjects: | |
| Online Access: | http://www.iiisci.org/Journal/CV$/sci/pdfs/002266.pdf
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| _version_ | 1818413670339706880 |
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| author | Russel J Stonier Mohamed M Anver |
| author_facet | Russel J Stonier Mohamed M Anver |
| author_sort | Russel J Stonier |
| collection | DOAJ |
| description | In this paper we develop a fuzzy image .lter which consists of a multi-layered fuzzy structure based on the weighted fuzzy blend filter for the removal of noise from images heavily corrupted by impulse noise, while preserving the intricate details of the image. The introduction of multi-layered fuzzy systems substantially decreases the number of rules to be learnt. We then show how Evolutionary Algorithms (EAs) can be used to effectively learn the fuzzy rules in each knowledge base. Results are presented for impulse noise corruption of the well-known 'Lena' image. |
| first_indexed | 2024-12-14T11:06:53Z |
| format | Article |
| id | doaj.art-bde09de9d0784c3b896424e168ed30de |
| institution | Directory Open Access Journal |
| issn | 1690-4524 |
| language | English |
| last_indexed | 2024-12-14T11:06:53Z |
| publishDate | 2003-08-01 |
| publisher | International Institute of Informatics and Cybernetics |
| record_format | Article |
| series | Journal of Systemics, Cybernetics and Informatics |
| spelling | doaj.art-bde09de9d0784c3b896424e168ed30de2022-12-21T23:04:29ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242003-08-01141318A New Multi-Layered Fuzzy Image Filter for Removing Impulse NoiseRussel J Stonier0Mohamed M Anver1 Faculty of Informatics and Communication, Central Queensland University Faculty of Informatics and Communication, Central Queensland University In this paper we develop a fuzzy image .lter which consists of a multi-layered fuzzy structure based on the weighted fuzzy blend filter for the removal of noise from images heavily corrupted by impulse noise, while preserving the intricate details of the image. The introduction of multi-layered fuzzy systems substantially decreases the number of rules to be learnt. We then show how Evolutionary Algorithms (EAs) can be used to effectively learn the fuzzy rules in each knowledge base. Results are presented for impulse noise corruption of the well-known 'Lena' image.http://www.iiisci.org/Journal/CV$/sci/pdfs/002266.pdf Evolutionary Algorithmimage enhancementFuzzy filterevolutionary learningmultilayered fuzzy system |
| spellingShingle | Russel J Stonier Mohamed M Anver A New Multi-Layered Fuzzy Image Filter for Removing Impulse Noise Journal of Systemics, Cybernetics and Informatics Evolutionary Algorithm image enhancement Fuzzy filter evolutionary learning multilayered fuzzy system |
| title | A New Multi-Layered Fuzzy Image Filter for Removing Impulse Noise |
| title_full | A New Multi-Layered Fuzzy Image Filter for Removing Impulse Noise |
| title_fullStr | A New Multi-Layered Fuzzy Image Filter for Removing Impulse Noise |
| title_full_unstemmed | A New Multi-Layered Fuzzy Image Filter for Removing Impulse Noise |
| title_short | A New Multi-Layered Fuzzy Image Filter for Removing Impulse Noise |
| title_sort | new multi layered fuzzy image filter for removing impulse noise |
| topic | Evolutionary Algorithm image enhancement Fuzzy filter evolutionary learning multilayered fuzzy system |
| url | http://www.iiisci.org/Journal/CV$/sci/pdfs/002266.pdf
|
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