Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/3440
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dc.contributor.authorRadosavljević, Milošen
dc.contributor.authorXiong Z.en
dc.contributor.authorLu L.en
dc.contributor.authorVukobratović, Dejanen
dc.date.accessioned2019-09-23T10:27:46Z-
dc.date.available2019-09-23T10:27:46Z-
dc.date.issued2017-01-04en
dc.identifier.isbn9781509053162en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/3440-
dc.description.abstract© 2016 IEEE. Inspired by the high performance of High Efficiency Video Coding (HEVC), this paper reports our work on applying the ideas of HEVC intra coding to compression of high-depth images such as 32 bits per pixel (b/p) seismic data. Compared to a licensed commercial wavelet-based codec that is currently used for seismic image compression, which performs on par with JPEG-XR, our new image codec significantly improves the PSNR vs. compression ratio performance. The codec's subject performance is rated by geologist as highly satisfactory.en
dc.relation.ispartofVCIP 2016 - 30th Anniversary of Visual Communication and Image Processingen
dc.titleHigh bit-depth image compression with application to seismic dataen
dc.typeConference Paperen
dc.identifier.doi10.1109/VCIP.2016.7805425en
dc.identifier.scopus2-s2.0-85011093344en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85011093344en
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije-
crisitem.author.parentorgFakultet tehničkih nauka-
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