Hybrid Krill Herd Algorithm with Particle Swarm Optimization for Image Enhancement

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dc.authorscopusid55376363100
dc.authorscopusid57194619312
dc.authorscopusid7005593269
dc.contributor.authorPashaei, Elnaz
dc.contributor.authorPashaei, Elham
dc.contributor.authorAydin, Nizamettin
dc.date.accessioned2024-09-11T19:58:23Z
dc.date.available2024-09-11T19:58:23Z
dc.date.issued2021
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.descriptionInternational Conference on Intelligent and Fuzzy Systems, INFUS 2020 -- 21 July 2020 through 23 July 2020 -- Istanbul -- 242349en_US
dc.description.abstractImage enhancement, aimed at improving the image contrast and information quality, is one of the most critical steps in image processing. Due to insufficient enhancement and the mean shift problem of conventional image enhancement techniques, new artificial intelligence-based image enhancement approaches have become an inevitable need in image processing. This paper employs the krill herd algorithm (KHA) and particle swarm optimization (PSO) to suggest a novel hybrid approach, called (PSOKHA) for image enhancement. The suggested PSOKHA method is used in search of optimum transfer function parameters to increase the quality of the images. For comparative evaluation, the performance of the PSOKHA is compared with six latest successful enhancement methods: PSO, KHA, screened Poisson equation (SPE), histogram equalization (HE), brightness preserving dynamic fuzzy HE (BPDFHE), and adaptive gamma correction weighted distribution (AGCWD). Experiments results in testing images include a medical image, a satellite image, and a handwritten image, demonstrate that the suggested strategy can produce better enhanced images in terms of several measurement criteria such as contrast, PSNR, entropy, and structure similarity index (SSIM). © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.en_US
dc.identifier.doi10.1007/978-3-030-51156-2_166
dc.identifier.endpage1439en_US
dc.identifier.isbn978-303051155-5en_US
dc.identifier.issn2194-5357en_US
dc.identifier.scopus2-s2.0-85088745293en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1431en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-51156-2_166
dc.identifier.urihttps://hdl.handle.net/11363/8459
dc.identifier.volume1197 AISCen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAdvances in Intelligent Systems and Computingen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectImage enhancement; Krill herd algorithm (KHA); Particle swarm optimization (PSO); SNPRen_US
dc.titleHybrid Krill Herd Algorithm with Particle Swarm Optimization for Image Enhancementen_US
dc.typeConference Objecten_US

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