Fuzzymultipass Filter For Impulse Noise Removal In Digital Images

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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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Conference or Workshop Item
Depositing User: Mr. Hazaralie Ramlee
Date Deposited: 08 Aug 2012 04:59
Last Modified: 20 Nov 2017 07:22
URI: http://eprints.usm.my/id/eprint/25877

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