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- W2134423951 abstract "Pixel-level image fusion is widely used in many fields. We proposed a pixel-level image fusion algorithm based on particle swarm optimization with local search, that is, PSO-LS, which improves performance further. PSO-LS integrated the self-improvement mechanisms from memetic algorithms and can avoid local minimum in PSO. Experiments were carried out on two real world images. It is shown that fusion algorithm based on PSO-LS outperforms that based on PSO, and the former obtained optimal solution rapidly using fewer particles." @default.
- W2134423951 created "2016-06-24" @default.
- W2134423951 creator A5022560449 @default.
- W2134423951 date "2011-05-01" @default.
- W2134423951 modified "2023-09-26" @default.
- W2134423951 title "Pixel-Level Image Fusion Using Particle Swarm Optimization with Local Search" @default.
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- W2134423951 doi "https://doi.org/10.1109/isa.2011.5873375" @default.
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