Title :
A fuzzy filter for images corrupted by impulse noise
Author :
Russo, Fabrizio ; Ramponi, Giovanni
Author_Institution :
Dipartimento di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
fDate :
6/1/1996 12:00:00 AM
Abstract :
A new operator is presented which adopts a fuzzy logic approach for the enhancement of images corrupted by impulse noise. The proposed operator is based on two-step fuzzy reasoning, and it is able to perform a very strong noise cancellation while preserving image details very well. The new fuzzy filter is favorably compared with other nonlinear operators in the literature.
Keywords :
fuzzy logic; image enhancement; interference suppression; noise; corrupted images; fuzzy filter; fuzzy logic approach; image details; image enhancement; impulse noise; noise cancellation; nonlinear operators; two-step fuzzy reasoning; Degradation; Filtering; Filters; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Image enhancement; Noise cancellation; Noise level; Pixel;
Journal_Title :
Signal Processing Letters, IEEE
