A hybrid image restoration algorithm based on Projections onto Convex Sets and Harmony Search
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Resumo
Image restoration is a research field that attempts to recover a blurred and noisy image. Since it can be modeled as a linear system, we propose in this paper to use the meta-heuristics optimization algorithm Harmony Search (HS) to find out near-optimal solutions in a Projections Onto Convex Sets-based formulation to solve this problem. The experiments using HS and four of its variants have shown that we can obtain near-optimal and faster restored images than other evolutionary optimization approach. © 2013 IEEE.
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Blurred and noisy images, Evolutionary optimizations, Harmony search, Meta heuristics, Near-optimal solutions, Optimization algorithms, Projections onto convex sets, Research fields, Algorithms, Image reconstruction, Linear systems, Optimization, Set theory
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Inglês
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Proceedings - IEEE International Symposium on Circuits and Systems, p. 2824-2827.
