A Comparative Study on Fusion of Visible and Infrared Images

dc.contributor.authorTalipoglu, Sadettin Durmus
dc.contributor.authorKayabol, Koray
dc.contributor.authorInce, Kutalmis Gokalp
dc.date.accessioned2025-10-29T11:36:50Z
dc.date.issued2018
dc.departmentFakülteler, Mühendislik Fakültesi, Elektronik Mühendisliği Bölümü
dc.description26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEY
dc.description.abstractIn this paper, principal component analysis (PCA), laplacian pyramid (LP), discrete wavelet transform (DWT), non-subsampled contourlet transform (NSCT), Bayesian PCA (BPCA), and non-negative matrix factorization (NMF) methods are compared in order to obtain a single informative image from visible and thermal images. The quality of the fused images obtained in the experimental studies is evaluated using five different quality metrics.
dc.description.sponsorshipIEEE,Huawei,Aselsan,NETAS,IEEE Turkey Sect,IEEE Signal Proc Soc,IEEE Commun Soc,ViSRATEK,Adresgezgini,Rohde & Schwarz,Integrated Syst & Syst Design,Atilim Univ,Havelsan,Izmir Katip Celebi Univ
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85050790073
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14854/13508
dc.identifier.wosWOS:000511448500668
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2018 26th Signal Processing and Communications Applications Conference (Siu)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20251020
dc.subjectimage fusion
dc.subjectvisible image
dc.subjectthermal image
dc.subjectbayesian structure
dc.titleA Comparative Study on Fusion of Visible and Infrared Images
dc.typeConference Object

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