Study the Effect of Noise on Compressed Images Used in Smart Application Based on JPEG Standard

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dc.contributor.authorIman, Elawady
dc.contributor.authorKaras, Ismail Rakip
dc.date.accessioned2024-09-29T15:50:52Z
dc.date.available2024-09-29T15:50:52Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description6th International Conference on Smart City Applications -- OCT 27-29, 2021 -- Safranbolu, TURKEYen_US
dc.description.abstractRecently a lot of smart applications based on using a data set, in the most of the cases, the data set is images, like in smart systems based on detection, recognition and auto decision, also in the systems based on data transmission and smart networks, according to those applications the most critical problem is our ability to save this data from the noise effect, which really could create wrong message or makes our data unclear for proving and analysis, however using data in its original format could take long time, which will consume our storage capacity, the bandwidth usage, processing resources and the energy used for the operation, this will lead us to use a kind of compression that gives us the best solution for all the drawbacks mentioned before. The JPEG compression gets a lot of attention in this term, since its produce a high-compression ratio with reconstructed image close to the original one, due to using DCT transform, which give us a good representation of the image in the frequency domain, however with all this benefits the JPEG standard is so sensitive to the noise effect, since the encoded data related to each other, its look like a related chain, so the smallest perturbation causes a tremendous collapse in terms of decoding (reconstruction of image), in this paper we are going to test and study the data sensitivity to the channel noise based on transmitted using JPEG compression, which allows us to offer efficient techniques in terms of restoration or data correction.en_US
dc.identifier.doi10.1007/978-3-030-94191-8_71
dc.identifier.endpage891en_US
dc.identifier.isbn978-3-030-94191-8
dc.identifier.isbn978-3-030-94190-1
dc.identifier.issn2367-3370
dc.identifier.issn2367-3389
dc.identifier.scopus2-s2.0-85126366466en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage883en_US
dc.identifier.urihttps://doi.org/10.1007/978-3-030-94191-8_71
dc.identifier.urihttps://hdl.handle.net/20.500.14619/3770
dc.identifier.volume393en_US
dc.identifier.wosWOS:000928840400071en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer International Publishing Agen_US
dc.relation.ispartof6th International Conference On Smart City Applicationsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAC componentsen_US
dc.subjectDC componentsen_US
dc.subjectBSC channelen_US
dc.subjectJPEG compressionen_US
dc.subjectDCTen_US
dc.subjectCR compression ratioen_US
dc.titleStudy the Effect of Noise on Compressed Images Used in Smart Application Based on JPEG Standarden_US
dc.typeConference Objecten_US

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