DEVELOPING A COMPRESSION PROCEDURE BASED ON THE WAVELET DENOISING AND JPEG2000 COMPRESSION

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dc.authoridGUNGOR, Murat Alparslan / 0000-0001-7446-7808
dc.authoridGencol, Kenan / 0000-0003-4044-3482
dc.authorwosidGUNGOR, Murat Alparslan / AAO-7690-2021
dc.contributor.authorGungor, Murat Alparslan
dc.contributor.authorGencol, Kenan
dc.date.accessioned2021-11-01T15:03:08Z
dc.date.available2021-11-01T15:03:08Z
dc.date.issued2020
dc.department[Belirlenecek]
dc.description.abstractImage compression has significant importance due to broad employment of image data in today's computing and communication systems. In image compression, there is generally a trade-off between image visual quality and the compression rate. Although certain types of applications favor the visual quality of an image, some others can favor the compression rate. Thus, an optimal operating point between these two should be determined. In this study, for this aim, we propose an optimal compression procedure based on transform coding for noisy images. We combine the wavelet-based JPEG2000 compression algorithm with wavelet-based denoising algorithms. Thus, thanks to our procedure, optimum performance can be achieved depending on the image type.
dc.identifier.doi10.1016/j.ijleo.2020.164933
dc.identifier.issn0030-4026
dc.identifier.issn1618-1336
dc.identifier.scopus2-s2.0-85086074647
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.ijleo.2020.164933
dc.identifier.urihttps://hdl.handle.net/11491/6984
dc.identifier.volume218en_US
dc.identifier.wosWOS:000581830300016
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[Belirlenecek]
dc.language.isoen
dc.publisherElsevier Gmbh
dc.relation.ispartofOptik
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectimage compressionen_US
dc.subjectwavelet denoisingen_US
dc.subjectJPEG2000en_US
dc.titleDEVELOPING A COMPRESSION PROCEDURE BASED ON THE WAVELET DENOISING AND JPEG2000 COMPRESSION
dc.typeArticle

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