A Multi-Layered Fuzzy Image Filter for Removing Impulse Noise.
Russel James Stonier, M.M. Anver · Figshare · 2002
In this paper we examine how different multi-layered fuzzy structures can be developed as fuzzy image filters for the removal of noise from images heavily corrupted by impulse noise, while preserving the intricate details of the image. Evolutionary Algorithms (EAs) are used to effectively learn the fuzzy rules in each knowledge base. Results are presented for impulse noise corruption of the well-known 'Lena' image.