Powerful video noise removal using fuzzy logic

Fuzzy logic and fuzzy set theory can be interesting tools for engineers when solving image processing problems. They provide a mathematical model for approximate reasoning, which mimics human reasoning and therefore can be very powerfull. In this paper we review the basic concepts of fuzzy logic and fuzzy set theory, and use these tools for the construction of a filter for random impulse noise removal in image sequences. Experimental results and a comparative study demonstrate the excellent performance of the filter and hence the power of the used tools.