Persistent Link:
http://hdl.handle.net/10150/193752
Title:
Efficient Compression Techniques for Multi-Dimensional Images
Author:
Lalgudi, Hariharan G.
Issue Date:
2009
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
With advances in imaging and communication systems, there is increased use of multi-dimensional images. Examples include multi-view image/video, hyperspectral image/video and dynamic volume imaging in CT/MRI/Ultrasound. These datasets consume even larger amounts of resources for transmission or storage compared to 2-D images. Hence, it is vital to have efficient compression methods for multi-dimensional images. In this dissertation, first, a JPEG2000 Part-2 compliant scheme is proposed for compressing multi-dimensional datasets for any dimension N>=3. Secondly, a novel view-compensated compression method is investigated for remote visualization of volumetric data. Experimental results indicate superior compression performance compared to state-of-the-art compression standards. Thirdly, a new scalable low complexity coder is designed that sacrifices some compression efficiency to get substantial gain in throughput. Potential use of the scalable low complexity coder is illustrated for two applications: Airborne video transmission and remote volume visualization.
Type:
text; Electronic Dissertation
Keywords:
compression; Multi-dimensional images; volume visualization
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Electrical & Computer Engineering; Graduate College
Degree Grantor:
University of Arizona
Advisor:
Marcellin, Michael W; Bilgin, Ali
Committee Chair:
Marcellin, Michael W; Bilgin, Ali

Full metadata record

DC FieldValue Language
dc.language.isoENen_US
dc.titleEfficient Compression Techniques for Multi-Dimensional Imagesen_US
dc.creatorLalgudi, Hariharan G.en_US
dc.contributor.authorLalgudi, Hariharan G.en_US
dc.date.issued2009en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractWith advances in imaging and communication systems, there is increased use of multi-dimensional images. Examples include multi-view image/video, hyperspectral image/video and dynamic volume imaging in CT/MRI/Ultrasound. These datasets consume even larger amounts of resources for transmission or storage compared to 2-D images. Hence, it is vital to have efficient compression methods for multi-dimensional images. In this dissertation, first, a JPEG2000 Part-2 compliant scheme is proposed for compressing multi-dimensional datasets for any dimension N>=3. Secondly, a novel view-compensated compression method is investigated for remote visualization of volumetric data. Experimental results indicate superior compression performance compared to state-of-the-art compression standards. Thirdly, a new scalable low complexity coder is designed that sacrifices some compression efficiency to get substantial gain in throughput. Potential use of the scalable low complexity coder is illustrated for two applications: Airborne video transmission and remote volume visualization.en_US
dc.typetexten_US
dc.typeElectronic Dissertationen_US
dc.subjectcompressionen_US
dc.subjectMulti-dimensional imagesen_US
dc.subjectvolume visualizationen_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineElectrical & Computer Engineeringen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorMarcellin, Michael Wen_US
dc.contributor.advisorBilgin, Alien_US
dc.contributor.chairMarcellin, Michael Wen_US
dc.contributor.chairBilgin, Alien_US
dc.contributor.committeememberMarcellin, Michael Wen_US
dc.contributor.committeememberBilgin, Alien_US
dc.contributor.committeememberDjordjevic, Ivanen_US
dc.contributor.committeememberVasic, Baneen_US
dc.identifier.proquest10243en_US
dc.identifier.oclc659750841en_US
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