Particle swarm optimization used in a fuzzy inference system for color modification from digital images to an psychedelic artistic style

Abstract

This paper proposes a fuzzy inference system for color manipulation in digital images in order to modify its artistic style, in this case the art form called psychedelic. The proposed fuzzy logic system, modeled by sets and fuzzy inference rules, generating images with colors characteristic of this type of art. In the second part fits inference system with the proposed technique; proposed an optimization algorithm based on particle swarms, finally showing improved results.