Result: NEAR-LOSSLESS AND SCALABLE COMPRESSION FOR MEDICAL IMAGING USING A NEW ADAPTIVE HIERARCHICAL ORIENTED PREDICTION
Title:
NEAR-LOSSLESS AND SCALABLE COMPRESSION FOR MEDICAL IMAGING USING A NEW ADAPTIVE HIERARCHICAL ORIENTED PREDICTION
Authors:
Contributors:
Digital image processing, modeling and communication (TEMICS), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université de Rennes, Institut National de Recherche en Informatique et en Automatique (Inria), This research was supported by the co-funded Brittany Council & INRIA doctoral research grant contract n°4591
Source:
2010 International Conference on Image Processing (ICIP 2010), Sep 2010, HONG KONG, China
Publisher Information:
CCSD, 2010.
Publication Year:
2010
Collection:
collection:EC-PARIS
collection:UNIV-RENNES1
collection:CNRS
collection:INRIA
collection:INSA-RENNES
collection:INRIA-RENNES
collection:IRISA
collection:IRISA_SET
collection:INRIA_TEST
collection:TESTALAIN1
collection:IRISA-D5
collection:INRIA2
collection:UR1-HAL
collection:UR1-MATH-STIC
collection:UR1-UFR-ISTIC
collection:TEST-UNIV-RENNES
collection:TEST-UR-CSS
collection:UNIV-RENNES
collection:INRIA-RENGRE
collection:INRIA-300009
collection:INSA-GROUPE
collection:UR1-MATH-NUM
collection:UNIV-RENNES1
collection:CNRS
collection:INRIA
collection:INSA-RENNES
collection:INRIA-RENNES
collection:IRISA
collection:IRISA_SET
collection:INRIA_TEST
collection:TESTALAIN1
collection:IRISA-D5
collection:INRIA2
collection:UR1-HAL
collection:UR1-MATH-STIC
collection:UR1-UFR-ISTIC
collection:TEST-UNIV-RENNES
collection:TEST-UR-CSS
collection:UNIV-RENNES
collection:INRIA-RENGRE
collection:INRIA-300009
collection:INSA-GROUPE
collection:UR1-MATH-NUM
Subject Terms:
Image coding; medical imaging; hierarchical prediction; lossless image coding; near-lossless image coding, ACM: E.: Data, E.4: CODING AND INFORMATION THEORY, E.4.0: Data compaction and compression, [INFO.INFO-IM]Computer Science [cs], Medical Imaging, [INFO.INFO-IT]Computer Science [cs], Information Theory [cs.IT], [MATH.MATH-IT]Mathematics [math], Information Theory [math.IT]
Subject Geographic:
Original Identifier:
HAL:
Document Type:
Conference
conferenceObject<br />Conference papers
Language:
English
Availability:
Accession Number:
edshal.inria.00538794v1
Database:
HAL
Further Information
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.