Adaptive 3D-DCT based compression algorithms for integral images
dc.contributor.author | Mehanna, A. | en |
dc.contributor.author | Aggoun, Amar | en |
dc.contributor.author | Fatah, O. Abdul | en |
dc.contributor.author | Swash, M.R. | en |
dc.contributor.author | Tsekleves, Emmanuel | en |
dc.date.accessioned | 2014-11-21T12:34:19Z | |
dc.date.available | 2014-11-21T12:34:19Z | |
dc.date.issued | 2013 | |
dc.identifier.citation | Mehanna, 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.doi | 10.1109/BMSB.2013.6621765 | |
dc.identifier.uri | http://hdl.handle.net/10547/335918 | |
dc.description.abstract | This 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.iso | en | en |
dc.publisher | IEEE | en |
dc.relation.url | http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6621765 | en |
dc.subject | 3D-DCT | en |
dc.subject | adaptive algorithm | en |
dc.subject | blocking artifacts | en |
dc.subject | compression | en |
dc.subject | holoscopic | en |
dc.subject | integral image | en |
dc.subject | ringing artifacts | en |
dc.subject | data compression | en |
dc.subject | discrete cosine transforms | en |
dc.subject | image coding | en |
dc.title | Adaptive 3D-DCT based compression algorithms for integral images | en |
dc.type | Conference papers, meetings and proceedings | en |
dc.contributor.department | Brunel University | en |
dc.contributor.department | University of Bedfordshire | en |
html.description.abstract | This 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. |