A fusion approach based on black hole algorithm and particle swarm optimization for image enhancement

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dc.authoridPASHAEI, ELNAZ/0000-0001-9391-9785
dc.authoridPashaei, Elham/0000-0001-7401-4964
dc.contributor.authorPashaei, Elnaz
dc.contributor.authorPashaei, Elham
dc.date.accessioned2024-09-11T19:50:22Z
dc.date.available2024-09-11T19:50:22Z
dc.date.issued2023
dc.departmentİstanbul Gelişim Üniversitesien_US
dc.description.abstractThe main objective of this paper is to present a new 2-stage hybrid optimization algorithm based scheme named PSO-BHA for image enhancement. A parameterized mapping function and a novel objective function are utilized in this paper to achieve the best-enhanced images. The suggested scheme combines the merits of particle swarm optimization (PSO) with the black hole algorithm (BHA) in two sequential stages to find the best parameters for the mapping function with the aid of the proposed objective function. The objective function uses contrast, edge, entropy, and universal quality index (UQI) for measuring contrast, and different improved information in the enhanced image. In the proposed scheme, PSO is applied first to adjust the tunable parameters of the mapping function and as a result, new pixel intensities are produced. Then, in the second stage, the obtained pixel intensities are again passed through the mapping function whose parameters are tuned by the use of the BHA. The suggested framework overcomes the limitations of the traditional histogram equalization (HE) based enhancement techniques in which excessive contrast enhancement and image information loss can occur. The suggested method is evaluated on several test images and compared with different state-of-the-art methods. The results indicate that the proposed framework provides superior performance to all existing methods in terms of various metrics. The proposed scheme also contributes to substantial feature enhancement and contrast boosting in the enhanced image, while retaining the natural feel of the original image.en_US
dc.identifier.doi10.1007/s11042-022-13275-3
dc.identifier.endpage325en_US
dc.identifier.issn1380-7501
dc.identifier.issn1573-7721
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85131550419en_US
dc.identifier.startpage297en_US
dc.identifier.urihttps://doi.org/10.1007/s11042-022-13275-3
dc.identifier.urihttps://hdl.handle.net/11363/7618
dc.identifier.volume82en_US
dc.identifier.wosWOS:000806683200001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofMultimedia Tools And Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240903_Gen_US
dc.subjectContrast enhancementen_US
dc.subjectParticle swarm optimizationen_US
dc.subjectBlack hole algorithmen_US
dc.subjectHistogram equalizationen_US
dc.subjectEvolutionary algorithmen_US
dc.titleA fusion approach based on black hole algorithm and particle swarm optimization for image enhancementen_US
dc.typeArticleen_US

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