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Compression of medical images using MRP with bi-directional prediction and histogram packing

2016-12-04Conference paper Restricted access
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dc.contributor.authorSantos, Joao M.
dc.contributor.authorGuarda, Andre F.R.
dc.contributor.authorCruz, Luís A. da Silva
dc.contributor.authorRodrigues, Nuno M. M.
dc.contributor.authorFaria, Sergio M. M. de
dc.date.accessioned2025-07-21T12:57:14Z
dc.date.available2025-07-21T12:57:14Z
dc.date.issued2016-12-04
dc.description.abstractMedical imaging technology has become essential for the improvement of medical practice. This led to advances in the technology, namely in image sampling resolutions, pixel bit-depth and inter slice resolution. Additionally, common use of medical images, the life expectancy of patients and legal restrictions led to increasing storage costs. Therefore, efficient compression of medical image data is in high demand, for archiving and transmission. In this work we propose to improve the compression efficiency of the Minimum Rate Predictors lossless encoder, by adding bi-directional prediction support and a histogram packing technique. The results show that the proposed method presents a higher compression efficiency than state-of-the-art HEVC encoder. The compression efficiency is improved by 20%, on average, when compared to HEVC and by 46.1% when compared with the original MRP algorithm.eng
dc.description.sponsorshipThis work was funded by MEDICOMP and DERMOPLENO projects in the scope of R&D Unit 50008, financed by the applicable financial framework (FCT/MEC through national funds and when applicable co-funded by FEDER – PT2020 partnership agreement).
dc.identifier.citationJ. M. Santos, A. F. R. Guarda, L. A. da Silva Cruz, N. M. M. Rodrigues and S. M. M. Faria, "Compression of medical images using MRP with bi-directional prediction and histogram packing," 2016 Picture Coding Symposium (PCS), Nuremberg, Germany, 2016, pp. 1-5, doi: 10.1109/PCS.2016.7906386
dc.identifier.doi10.1109/pcs.2016.7906386
dc.identifier.urihttp://hdl.handle.net/10400.8/13729
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationFEDER – PT2020
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/7906386
dc.relation.ispartof2016 Picture Coding Symposium (PCS)
dc.rights.uriN/A
dc.titleCompression of medical images using MRP with bi-directional prediction and histogram packingeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2016-12-04
oaire.citation.conferencePlaceNuremberg, Germany
oaire.citation.endPage3025
oaire.citation.startPage3022
oaire.citation.title2016 Picture Coding Symposium (PCS)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFaria
person.givenNameSergio
person.identifier.ciencia-id8815-4101-28DD
person.identifier.orcid0000-0002-0993-9124
person.identifier.ridC-5245-2011
person.identifier.scopus-author-id14027853900
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication.latestForDiscoveryf69bd4d6-a6ef-4d20-8148-575478909661

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