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What is Projections about?

This paper presents a hybrid Particle Swarm Optimization (PSO) and Projections Onto Convex Sets (POCS) algorithm for image restoration, specifically targeting remote sensing images affected by noise and blurring. The proposed method optimizes the relaxation parameter used in POCS, which is crucial for effective image restoration, and demonstrates superior performance compared to traditional Wiener and Richardson–Lucy algorithms. The study highlights the potential of PSO in enhancing the restoration process

Author

MARIA

Language

EN