An efficient algorithm for multi-focus image fusion using PSO-ICA

Authors:
Sanjay Agrawal;Rutuparna Panda;Lingaraj Dora
Affiliations:
Department of Electronics & Telecommunication Engineering, VSS University of Technology, Burla, Odisha, India;Department of Electronics & Telecommunication Engineering, VSS University of Technology, Burla, Odisha, India;Department of Electronics & Telecommunication Engineering, VSS University of Technology, Burla, Odisha, India
Venue:
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
Year:
2011

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Abstract

A pixel-level multi-focus image fusion scheme using Independent Component Analysis (ICA) and Particle Swarm Optimization (PSO) is proposed in this paper. The novelty in this work is optimization of ICA bases using PSO and its application to multi-focus image fusion, which is not found in the literature. The idea is to divide the input registered images into patches and get the independent components using ICA transform. The images are then fused in the transform domain using pixel-based fusion rules. PSO is used to optimize the independent components in ICA. We observe that the proposed method outperforms the existing fusion techniques using ICA.