Pires, Rafael G. [UNESP]Pereira, Luis A. M. [UNESP]Mansano, Alex F. [UNESP]Papa, João Paulo [UNESP]2014-05-272014-05-272013-09-09Proceedings - IEEE International Symposium on Circuits and Systems, p. 2824-2827.0271-4310http://hdl.handle.net/11449/76537Image 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.2824-2827engBlurred and noisy imagesEvolutionary optimizationsHarmony searchMeta heuristicsNear-optimal solutionsOptimization algorithmsProjections onto convex setsResearch fieldsAlgorithmsImage reconstructionLinear systemsOptimizationSet theoryTrabalho apresentado em evento10.1109/ISCAS.2013.6572466WOS:000332006803008Acesso aberto2-s2.0-848833698069039182932747194