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Near-Lossless 3D-image Compression Using Hypergraphs

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 07 Apr 2006Publisher:IEEEJournal:Data Compression Conference (DCC'06)
Authors: Luc Gillibert; Alain Bretto;

doi: 10.1109/dcc.2006.51

Near-Lossless 3D-image Compression Using Hypergraphs

Abstract

Summary form only given. We extend the hyper graph-based image representation to SD-images. This extended representation conducts to a generalisation of the HLC lossless compression algorithm for near-lossless 3D-image compression: HNLC.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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