Adaptive Wiener-Turbo System and adaptive Wiener-Turbo Systems with JPEG & bit plane compressions

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dc.authorid0000-0001-8337-0127
dc.authorid0000-0001-6578-1969
dc.authorid0000-0001-8428-2380
dc.authorid0000-0001-7675-7999
dc.authorid0000-0002-8396-2920
dc.contributor.authorBüyükatak, Kenan
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorGöse, Ersin
dc.contributor.authorOsman, Onur
dc.contributor.authorKent, Sedef
dc.date.accessioned2020-11-21T15:55:16Z
dc.date.available2020-11-21T15:55:16Z
dc.date.issued2007en_US
dc.departmentİstanbul Ticaret Üniversitesi, Meslek Yüksekokulu, Bilgisayar Teknolojileri Bölümüen_US
dc.description.abstractIn order to improve unequal error protection and compression ratio of 2-D colored images over wireless environment, we propose two new schemes denoted as ''Adaptive Wiener-Turbo System (AW-TS) and Adaptive Wiener-Turbo Systems with JPEG & Bit Plane Compressions (AW-TSwJBC)''. In AW-TS, there is a feedback link between Wiener filtering and Turbo decoder and process iteratively. The scheme employs a pixel-wise adaptive Wiener-based Turbo decoder and uses statistics (mean and standard deviation of local image) of estimated values of local neighborhood of each pixel. It has extra-ordinary satisfactory results of both bit error rate (BER) and image enhancement performance for less than 2 dB Signal-to-Noise Ratio (SNR) values, compared to separately application of traditional turbo coding scheme and 2-D filtering. In AW-TSwJBC scheme, 2-D colored image is passed through a color & bit planes� slicer block. In this block, each pixel of the input image is partitioned up to three main color planes as R,G,B and each pixel of the color planes is sliced up to N binary bit planes, which corresponds to binary representation of pixels. Thus depending on importance of information knowledge of the input image, pixels of each color plane can be represented by fewer number of bit planes. Then they are compressed by JPEG prior to turbo encoder. Hence, two consecutive compressions are achieved regarding the input image. In 2-D images, information is mainly carried by neighbors of pixels. Here, we benefit of neighborhood relation of pixels for each color plane by using a new iterative block, named as ''Adaptive Wiener-Turbo'' scheme, which employs Turbo decoder, JPEG encoder/decoders and Adaptive Wiener Filtering.en_US
dc.identifier.citationBüyükatak, K., Ucan, O. N., Göse, E., Osman, O., & Kent, S. (2007). Adaptive Wiener-Turbo System and Adaptive Wiener-Turbo Systems with JPEG & Bit Plane Compressions. IU-Journal of Electrical & Electronics Engineering, 7(1), 257-276.
dc.identifier.endpage276en_US
dc.identifier.issn1303-0914
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-36148930658en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage257en_US
dc.identifier.trdizinid114027en_US
dc.identifier.urihttps://app.trdizin.gov.tr/makale/TVRFME1ESTNOdz09
dc.identifier.urihttps://hdl.handle.net/11467/3972
dc.identifier.volume7en_US
dc.identifier.wosWOS:000409727200001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.indekslendigikaynakWeb of Science
dc.language.isoenen_US
dc.publisherIstanbul Univ, Fac Engineering
dc.relation.ispartofIstanbul University Journal of Electrical and Electronics Engineeringen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectImage Transmissionen_US
dc.subjectImage Compressionen_US
dc.subjectTurbo Coding
dc.subjectColor and Bit Plane Slicing
dc.subjectJPEG
dc.titleAdaptive Wiener-Turbo System and adaptive Wiener-Turbo Systems with JPEG & bit plane compressionsen_US
dc.typeArticleen_US

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