Persistent Link:
http://hdl.handle.net/10150/289842
Title:
Scalable compression of imagery
Author:
Bilgin, Ali
Issue Date:
2002
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:
Recent image compression technologies value functionality as well as compression efficacy. In this dissertation, several compression methodologies that are both efficient and functional are introduced. The first compression system aims to compress three-dimensional data sets. In this system, existing two-dimensional zerotree coding techniques are extended to three dimensions, and are combined with integer wavelet transforms and context-based arithmetic coding. This system creates a unified framework for both lossless and lossy compression of three-dimensional data sets, and generates a scalable codestream. In our experiments, the system provided an average of 23% decrease in file size for representative three-dimensional data sets, compared to the best available two-dimensional lossless compression techniques. Strategies for transmission of JPEG2000 codestreams over packet-erasure channels are introduced next. These strategies are developed by allowing the channel coder to access information on the structure of the codestream generated by the source coder. Experimental results indicate that a carefully designed packetization strategy can provide significant performance improvement, especially when the channel experiences heavy erasures. Finally, utilization of JPEG2000 to compress scientific data is illustrated. In particular, a JPEG2000-based system that can be used to compress electrocardiogram (ECG) data is presented. Although this system utilizes the JPEG2000 image coding algorithm to compress one-dimensional ECG data, experimental results indicate that it compares favorably with specialized ECG compression methods in the literature.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Engineering, Electronics and Electrical.; Computer Science.
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Graduate College; Electrical and Computer Engineering
Degree Grantor:
University of Arizona
Advisor:
Marcellin, Michael W.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleScalable compression of imageryen_US
dc.creatorBilgin, Alien_US
dc.contributor.authorBilgin, Alien_US
dc.date.issued2002en_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.abstractRecent image compression technologies value functionality as well as compression efficacy. In this dissertation, several compression methodologies that are both efficient and functional are introduced. The first compression system aims to compress three-dimensional data sets. In this system, existing two-dimensional zerotree coding techniques are extended to three dimensions, and are combined with integer wavelet transforms and context-based arithmetic coding. This system creates a unified framework for both lossless and lossy compression of three-dimensional data sets, and generates a scalable codestream. In our experiments, the system provided an average of 23% decrease in file size for representative three-dimensional data sets, compared to the best available two-dimensional lossless compression techniques. Strategies for transmission of JPEG2000 codestreams over packet-erasure channels are introduced next. These strategies are developed by allowing the channel coder to access information on the structure of the codestream generated by the source coder. Experimental results indicate that a carefully designed packetization strategy can provide significant performance improvement, especially when the channel experiences heavy erasures. Finally, utilization of JPEG2000 to compress scientific data is illustrated. In particular, a JPEG2000-based system that can be used to compress electrocardiogram (ECG) data is presented. Although this system utilizes the JPEG2000 image coding algorithm to compress one-dimensional ECG data, experimental results indicate that it compares favorably with specialized ECG compression methods in the literature.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectEngineering, Electronics and Electrical.en_US
dc.subjectComputer Science.en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineElectrical and Computer Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorMarcellin, Michael W.en_US
dc.identifier.proquest3073194en_US
dc.identifier.bibrecord.b43426943en_US
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