NDLI: Near-lossless and scalable compression for medical imaging using a new adaptive hierarchical oriented prediction

Content Provider	IEEE Xplore Digital Library
Author	Taquet, J. Labit, C.
Copyright Year	2010
Description	Author affiliation: INRIA, Centre Inria Rennes Bretagne Atlantique, IRISA, Campus de Beaulieu, 35042, France (Taquet, J.; Labit, C.)
Abstract	A new adaptive approach for lossless and near-lossless scalable compression of medical images is presented. It combines the adaptivity of DPCM schemes with hierarchical oriented prediction (HOP) in order to provide resolution scalability with better compression performances. We obtain lossless results which are about 4% better than resolution scalable JPEG2000 and close to non scalable CALIC on a large scale database. The HOP algorithm is also well suited for near-lossless compression, providing interesting rate-distortion trade-off compared to JPEG-LS and equivalent or better PSNR than JPEG2000 for high bit-rate on noisy (native) medical images.
Starting Page	481
Ending Page	484
File Size	360008
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5651148
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Databases Magnetic resonance imaging PSNR Biomedical imaging Image resolution Transform coding near-lossless image coding medical imaging hierarchical prediction lossless image coding
Content Type	Text
Resource Type	Article

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