Indonesian Journal of Electrical Engineering and Computer Science
Vol 13, No 1: January 2019

Colored facial image restoration by similarity enhanced implicative fuzzy association memory

Kwang Baek Kim (Silla University)
Doo Heon Song (Yong-In SongDam College)



Article Info

Publish Date
01 Jan 2019

Abstract

Image restoration refers to the recovery of an underlying image from an observation that has been corrupted by various types of noise. In a digital forensic software, such image restoration process should be noise-tolerant, robust, fast, and scalable.  In this paper, we apply implicative fuzzy association memory structure in colored facial image restoration with enhanced similarity measure involved in output computarion. The efficacy if the proposed fuzzy associative memory model is verified by the experiment in that it was 95% successful (with zero mean square error) out of 20 tested images.

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