Integral Image based Fast Convolution Operations via Separable Kernels

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dc.contributor.authorTuncel, Tolga
dc.contributor.authorAkbulut, Orhan
dc.date.accessioned2025-03-26T17:34:57Z
dc.date.available2025-03-26T17:34:57Z
dc.date.issued2021
dc.departmentİstanbul Esenyurt Üniversitesi
dc.description29th IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUN 09-11, 2021 -- ELECTR NETWORK
dc.description.abstractIn this paper a method for accelerating the convolution processes, which is performed with different size of kernel filters, is proposed. The proposed method is basically based on the integral image representation approach. Integral image approaches are not directly usable with kernel filters. The convolution process is performed over sub-matrices by defining kernel filters as linear combinations of sub-matrices. Comparing the running times between standard convolution and the proposed method under different sizes of kernel filters and different resolutions of images, it has been observed that the convolution processing times for 19 x 19 and larger kernel matrices are in favor of the proposed method.
dc.description.sponsorshipIEEE,IEEE Turkey Sect
dc.identifier.doi10.1109/SIU53274.2021.9478001
dc.identifier.isbn978-1-6654-3649-6
dc.identifier.scopus2-s2.0-85111457728
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU53274.2021.9478001
dc.identifier.urihttps://hdl.handle.net/20.500.14704/957
dc.identifier.wosWOS:000808100700242
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof29th Ieee Conference on Signal Processing and Communications Applications (Siu 2021)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250326
dc.subjectIntegral image; convolution
dc.titleIntegral Image based Fast Convolution Operations via Separable Kernels
dc.typeConference Object

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