Title :
A FIRE filter for detail-preserving smoothing of images corrupted by mixed noise
Author_Institution :
Dipt. di Elettrotecnica, Elettronica ed Inf., Trieste Univ., Italy
Abstract :
A new fuzzy inference ruled by else-action (FIRE) operator for the filtering of images corrupted by mixed noise is presented. By adopting a hierarchical structure, the proposed filter combines fuzzy rules for the cancellation of both impulse and uniform noise. Fuzzy sets and rules are specifically designed to yield an effective noise cancellation while presenting the image derails. The results of computer simulations show that the proposed approach is able to outperform a number of nonlinear methods in the literature
Keywords :
fuzzy logic; fuzzy set theory; image processing; inference mechanisms; interference suppression; noise; smoothing methods; FIRE filter; detail-preserving smoothing; else-action; fuzzy inference; fuzzy rules; fuzzy set theory; image filtering; mixed noise; noise cancellation; Filtering; Filters; Fires; Fuzzy logic; Fuzzy sets; Input variables; Noise cancellation; Pixel; Smoothing methods; Tin;
Conference_Titel :
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7803-3796-4
DOI :
10.1109/FUZZY.1997.622854
