Satellite image enhancement by using dual tree complex wavelet transform: Denoising and illumination enhancement

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dc.contributor.authorTaşmaz, Haci
dc.contributor.authorDemirel, Hasan
dc.contributor.authorAnbarjafari, Gholamreza
dc.date.accessioned2025-02-24T16:35:48Z
dc.date.available2025-02-24T16:35:48Z
dc.date.issued2012
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description2012 20th Signal Processing and Communications Applications Conference -- SIU 2012 -- 18 April 2012 through 20 April 2012 -- Fethiye -- Mugla -- 90786
dc.description.abstractThis research work proposes a satellite image enhancement system consisting of image denoising and illumination enhancement technique based on dual tree complex wavelet transform (DT-CWT). The technique firstly decomposes the noisy input image into different frequency subbands by using DT-CWT and denoises these subbands by using local adaptive bivariate shrinkage function (LA-BSF) which assumes the dependency of subband detail coefficients. In LA-BSF, model parameters are estimated in a local neighborhood which results in improved denoising performance. Then the denoised image once more is decomposed into the different frequency subbands by using DT-CWT. The highest singular value of the low frequency subbands are used in order to enhance the illumination of the denoised image. Finally the image is reconstructed by applying the inverse DT-CWT (IDT-CWT). The experimental results show the superiority of the proposed method over the conventional and the state-of-art techniques. © 2012 IEEE.
dc.identifier.doi10.1109/SIU.2012.6204463
dc.identifier.isbn978-146730056-8
dc.identifier.scopus2-s2.0-84863425225
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU.2012.6204463
dc.identifier.urihttps://hdl.handle.net/20.500.14440/583
dc.indekslendigikaynakScopus
dc.language.isotr
dc.relation.ispartof2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250201
dc.subjectForestry
dc.subjectIllumination
dc.subjectImage Analysis
dc.subjectTelecommunications
dc.subjectForestry
dc.subjectImage enhancement
dc.subjectImage segmentation
dc.subjectSignal processing
dc.subjectBivariate shrinkages
dc.subjectDe-noising
dc.subjectDetail coefficients
dc.subjectDifferent frequency
dc.subjectDual-tree complex wavelet transform
dc.subjectEnhancement techniques
dc.subjectInput image
dc.subjectLocal-adaptive
dc.subjectLow frequency
dc.subjectModel parameters
dc.subjectSatellite images
dc.subjectSingular values
dc.subjectSubbands
dc.subjectImage denoising
dc.titleSatellite image enhancement by using dual tree complex wavelet transform: Denoising and illumination enhancement
dc.title.alternativeÇi?ft a?açli karmaşik dalgacik dönüşümü kullanarak uydu i?mge peki?şti?rme: Gürültü ayiklama ve aydinlatma peki?şti?rme
dc.typeConference Object

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