An Efficient Algorithm for Multi-focus Image Fusion Using PSO-ICA
作者： Sanjay Agrawal , Rutuparna Panda , Lingaraj Dora
DOI: 10.1007/978-3-642-27172-4_20
关键词:
摘要: 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 work optimization of ICA bases PSO its application to fusion, which not found the literature. idea divide input registered images into patches get independent components transform. are then fused transform domain pixel-based rules. used optimize ICA. We observe that method outperforms existing techniques
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