Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/3440
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Radosavljević, Miloš | en |
dc.contributor.author | Xiong Z. | en |
dc.contributor.author | Lu L. | en |
dc.contributor.author | Vukobratović, Dejan | en |
dc.date.accessioned | 2019-09-23T10:27:46Z | - |
dc.date.available | 2019-09-23T10:27:46Z | - |
dc.date.issued | 2017-01-04 | en |
dc.identifier.isbn | 9781509053162 | en |
dc.identifier.uri | https://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.ispartof | VCIP 2016 - 30th Anniversary of Visual Communication and Image Processing | en |
dc.title | High bit-depth image compression with application to seismic data | en |
dc.type | Conference Paper | en |
dc.identifier.doi | 10.1109/VCIP.2016.7805425 | en |
dc.identifier.scopus | 2-s2.0-85011093344 | en |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85011093344 | en |
item.fulltext | No Fulltext | - |
item.grantfulltext | none | - |
crisitem.author.dept | Fakultet tehničkih nauka, Departman za energetiku, elektroniku i telekomunikacije | - |
crisitem.author.parentorg | Fakultet tehničkih nauka | - |
Appears in Collections: | FTN Publikacije/Publications |
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