Fuzzymultipass Filter For Impulse Noise Removal In Digital Images
VIN TOH, KENNY KAL and MAT ISA, NOR ASHIDI Fuzzymultipass Filter For Impulse Noise Removal In Digital Images. In: 11th International Conference on Signal Processing (SIP’12), 02 – 04 April 2012, St. Malo, Perancis . (Submitted)
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.
Repository Staff Only: item control page