Fuzzymultipass Filter For Impulse Noise Removal In Digital Images
This paper presents a fuzzy multipass filter that effectively removes impulse noise in digital images. The proposed fuzzy inference mechanism is partly based on the well-known Fuzzy Inference Ruled by Else-action (FIRE) reasoning strategy, coupled with a newly introduced pseudo fuzzy rulebase that...
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2012
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my.usm.eprints.25877 http://eprints.usm.my/25877/ Fuzzymultipass Filter For Impulse Noise Removal In Digital Images Vin Toh, Kenny Kal Mat Isa, Nor Ashidi TK1-9971 Electrical engineering. Electronics. Nuclear engineering This paper presents a fuzzy multipass filter that effectively removes impulse noise in digital images. The proposed fuzzy inference mechanism is partly based on the well-known Fuzzy Inference Ruled by Else-action (FIRE) reasoning strategy, coupled with a newly introduced pseudo fuzzy rulebase that is represented by a set of simple logical operations. The FIRE mechanism is adopted to perform strong noise cancellation when impulses are detected, whereas the pseudo fuzzy rulebase conveniently simplifies the complicated computation and evaluation of a complex-structured rulebase in fuzzy filtering. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.usm.my/25877/1/Fuzzymultipass_Filter_For_Impulse_Noise_Removal_In_Digital_Images.pdf Vin Toh, Kenny Kal and Mat Isa, Nor Ashidi (2012) Fuzzymultipass Filter For Impulse Noise Removal In Digital Images. In: 11th International Conference on Signal Processing (SIP’12), April 2 – 4, 2012, St. Malo, Perancis . (Submitted) |
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TK1-9971 Electrical engineering. Electronics. Nuclear engineering Vin Toh, Kenny Kal Mat Isa, Nor Ashidi Fuzzymultipass Filter For Impulse Noise Removal In Digital Images |
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This paper presents a fuzzy multipass filter that effectively removes impulse noise in digital images.
The proposed fuzzy inference mechanism is partly based on the well-known Fuzzy Inference Ruled by Else-action
(FIRE) reasoning strategy, coupled with a newly introduced pseudo fuzzy rulebase that is represented by a set of
simple logical operations. The FIRE mechanism is adopted to perform strong noise cancellation when impulses are
detected, whereas the pseudo fuzzy rulebase conveniently simplifies the complicated computation and evaluation
of a complex-structured rulebase in fuzzy filtering. |
format |
Conference or Workshop Item |
author |
Vin Toh, Kenny Kal Mat Isa, Nor Ashidi |
author_facet |
Vin Toh, Kenny Kal Mat Isa, Nor Ashidi |
author_sort |
Vin Toh, Kenny Kal |
title |
Fuzzymultipass Filter For Impulse Noise Removal In Digital Images |
title_short |
Fuzzymultipass Filter For Impulse Noise Removal In Digital Images |
title_full |
Fuzzymultipass Filter For Impulse Noise Removal In Digital Images |
title_fullStr |
Fuzzymultipass Filter For Impulse Noise Removal In Digital Images |
title_full_unstemmed |
Fuzzymultipass Filter For Impulse Noise Removal In Digital Images |
title_sort |
fuzzymultipass filter for impulse noise removal in digital images |
publishDate |
2012 |
url |
http://eprints.usm.my/25877/1/Fuzzymultipass_Filter_For_Impulse_Noise_Removal_In_Digital_Images.pdf http://eprints.usm.my/25877/ |
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1643705973322285056 |
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13.160551 |