A New Fuzzy Multi-channel Filter for the Reduction of Impulse Noise
One of the most common image processing tasks involves the removal of impulse noise from digital images. In this paper, we propose a new two step multi-channel filter. This new non-linear filter technique contains two separate steps: an impulse noise detection step and a noise reduction step. The fu...
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| creator | Schulte, Stefan De Witte, Valérie Nachtegael, Mike Van der Weken, Dietrich Kerre, Etienne E. |
| description | One of the most common image processing tasks involves the removal of impulse noise from digital images. In this paper, we propose a new two step multi-channel filter. This new non-linear filter technique contains two separate steps: an impulse noise detection step and a noise reduction step. The fuzzy detection method is mainly based on the calculation of fuzzy gradient values and on fuzzy reasoning. This phase will determine three separate membership functions that will be used by the filtering step. Experiments prove that the proposed filter may be used for efficient removal of impulse noise from colour images without distorting the useful information in the image. |
| doi_str_mv | 10.1007/11492429_45 |
| format | Conference Proceeding |
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In this paper, we propose a new two step multi-channel filter. This new non-linear filter technique contains two separate steps: an impulse noise detection step and a noise reduction step. The fuzzy detection method is mainly based on the calculation of fuzzy gradient values and on fuzzy reasoning. This phase will determine three separate membership functions that will be used by the filtering step. Experiments prove that the proposed filter may be used for efficient removal of impulse noise from colour images without distorting the useful information in the image.</description><identifier>ISSN: 0302-9743</identifier><identifier>ISBN: 9783540261537</identifier><identifier>ISBN: 3540261532</identifier><identifier>EISSN: 1611-3349</identifier><identifier>EISBN: 9783540322375</identifier><identifier>EISBN: 354032237X</identifier><identifier>DOI: 10.1007/11492429_45</identifier><language>eng</language><publisher>Berlin, Heidelberg: Springer Berlin Heidelberg</publisher><subject>Applied sciences ; Artificial intelligence ; Blue Component ; Computer science; control theory; systems ; Exact sciences and technology ; Impulse Noise ; Membership Degree ; Membership Function ; Noisy Pixel ; Pattern recognition. Digital image processing. 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In this paper, we propose a new two step multi-channel filter. This new non-linear filter technique contains two separate steps: an impulse noise detection step and a noise reduction step. The fuzzy detection method is mainly based on the calculation of fuzzy gradient values and on fuzzy reasoning. This phase will determine three separate membership functions that will be used by the filtering step. Experiments prove that the proposed filter may be used for efficient removal of impulse noise from colour images without distorting the useful information in the image.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Blue Component</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Impulse Noise</subject><subject>Membership Degree</subject><subject>Membership Function</subject><subject>Noisy Pixel</subject><subject>Pattern recognition. Digital image processing. 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| fulltext | fulltext |
| identifier | ISSN: 0302-9743 |
| ispartof | Lecture notes in computer science, 2005, p.368-375 |
| issn | 0302-9743 1611-3349 |
| language | eng |
| recordid | cdi_pascalfrancis_primary_16895191 |
| source | Springer Books |
| subjects | Applied sciences Artificial intelligence Blue Component Computer science control theory systems Exact sciences and technology Impulse Noise Membership Degree Membership Function Noisy Pixel Pattern recognition. Digital image processing. Computational geometry |
| title | A New Fuzzy Multi-channel Filter for the Reduction of Impulse Noise |
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