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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Main Authors: Vin Toh, Kenny Kal, Mat Isa, Nor Ashidi
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.usm.my/25877/
http://eprints.usm.my/25877/1/Fuzzymultipass_Filter_For_Impulse_Noise_Removal_In_Digital_Images.pdf
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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
building USM Institutional Repository
collection Online Access
description 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.
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format Conference or Workshop Item
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T16:40:56Z
publishDate 2012
recordtype eprints
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spelling usm-258772017-11-20T07:22:02Z 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)
spellingShingle TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Vin Toh, Kenny Kal
Mat Isa, Nor Ashidi
Fuzzymultipass Filter For Impulse Noise Removal In Digital Images
title 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_short Fuzzymultipass Filter For Impulse Noise Removal In Digital Images
title_sort fuzzymultipass filter for impulse noise removal in digital images
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/25877/
http://eprints.usm.my/25877/1/Fuzzymultipass_Filter_For_Impulse_Noise_Removal_In_Digital_Images.pdf