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...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.usm.my/25877/1/Fuzzymultipass_Filter_For_Impulse_Noise_Removal_In_Digital_Images.pdf |
| Summary: | 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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