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dc.contributor.authorMehanna, A.en
dc.contributor.authorAggoun, Amaren
dc.contributor.authorFatah, O. Abdulen
dc.contributor.authorSwash, M.R.en
dc.contributor.authorTsekleves, Emmanuelen
dc.date.accessioned2014-11-21T12:34:19Z
dc.date.available2014-11-21T12:34:19Z
dc.date.issued2013
dc.identifier.citationMehanna, A., Aggoun, A., Abdulfatah, O., Swash, M. R., Tsekleves, E. (2013) 'Adaptive 3D-DCT based compression algorithms for integral images.' Broadband Multimedia Systems and Broadcasting (BMSB), 2013 IEEE International Symposium on, London 5-7 June.en
dc.identifier.doi10.1109/BMSB.2013.6621765
dc.identifier.urihttp://hdl.handle.net/10547/335918
dc.description.abstractThis paper proposes a novel mean adaptive 3DDCT algorithm for 3D content to achieve the optimal result by trading of quality and compression of 3D image. The proposed method enables users to adjust the compression rate according to application areas by applying small blocks to the more detailing area (non -stationary regions) and larger blocks to the background or less details area (homogenous regions) [1]. This proposed method “Mean Adaptive 3D-DCT” is applied on Holoscopic 3D images also known as Integral Images. In addition, the experiment results prove the method is applicable to any 3D content.
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6621765en
dc.subject3D-DCTen
dc.subjectadaptive algorithmen
dc.subjectblocking artifactsen
dc.subjectcompressionen
dc.subjectholoscopicen
dc.subjectintegral imageen
dc.subjectringing artifactsen
dc.subjectdata compressionen
dc.subjectdiscrete cosine transformsen
dc.subjectimage codingen
dc.titleAdaptive 3D-DCT based compression algorithms for integral imagesen
dc.typeConference papers, meetings and proceedingsen
dc.contributor.departmentBrunel Universityen
dc.contributor.departmentUniversity of Bedfordshireen
html.description.abstractThis paper proposes a novel mean adaptive 3DDCT algorithm for 3D content to achieve the optimal result by trading of quality and compression of 3D image. The proposed method enables users to adjust the compression rate according to application areas by applying small blocks to the more detailing area (non -stationary regions) and larger blocks to the background or less details area (homogenous regions) [1]. This proposed method “Mean Adaptive 3D-DCT” is applied on Holoscopic 3D images also known as Integral Images. In addition, the experiment results prove the method is applicable to any 3D content.


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