Determining the number of tetrominoe orders for denoising applications performed by Tetrolet transform [Tetrolet dönüşümüyle gerçekleş tirilen gürültü giderme uygulamalari için tetromin dizilimi sayisinin belirlenmesi]

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dc.contributor.authorCeylan M.
dc.contributor.authorOzturk A.E.
dc.date.accessioned2020-03-26T18:58:50Z
dc.date.available2020-03-26T18:58:50Z
dc.date.issued2014
dc.departmentSelçuk Üniversitesien_US
dc.description2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 -- 23 April 2014 through 25 April 2014 -- Trabzon -- 106053en_US
dc.description.abstractWhile Tetrolet transform (TT) which is one of the multi-resolution analysis improved recently is applied to images, 5 different shape called tetrominoes is gathered for 4×4 pixel blocks and TT is performed by arranging pixels according to this order. Tetrominoes can be chosen with 117 different combinations. In this study, firstly benchmark images (Lena, Barbara, Boat, Mandrill, Cameraman) and liver MR (magnetic resonance) images are denoised by utilizing TT with 1 to 117 different tetrominoe combinations respectively and optimal number of orders is determined for different noise rates by comparing obtained PSNR (peak signal to noise ratio) results. After that, images are denoised by using just optimal number of tetrominoe orders and all 117 combinations seperately. The operation times are compared. It is clearly seen that using all possible combinations for denoising causes redundant processes and an optimal number of tetrminoe orders can be specified for different image sets according to noise ratio. Decreasing number of combinations shortened the operation time seriously. © 2014 IEEE.en_US
dc.identifier.doi10.1109/SIU.2014.6830204en_US
dc.identifier.endpage219en_US
dc.identifier.isbn9.78148E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage216en_US
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2014.6830204
dc.identifier.urihttps://hdl.handle.net/20.500.12395/31307
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIEEE Computer Societyen_US
dc.relation.ispartof2014 22nd Signal Processing and Communications Applications Conference, SIU 2014 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectdenoisingen_US
dc.subjectTetrolet transformen_US
dc.titleDetermining the number of tetrominoe orders for denoising applications performed by Tetrolet transform [Tetrolet dönüşümüyle gerçekleş tirilen gürültü giderme uygulamalari için tetromin dizilimi sayisinin belirlenmesi]en_US
dc.typeConference Objecten_US

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