Transform coding of images using fixed-rate and entropy-constrained trellis coded quantization

Persistent Link:
http://hdl.handle.net/10150/277886
Title:
Transform coding of images using fixed-rate and entropy-constrained trellis coded quantization
Author:
Tong, Kai-Loong, 1969-
Issue Date:
1991
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:
Trellis coded quantization (TCQ) is incorporated into a transform coding structure for encoding monochrome and color images at 1 bit/pixel. Both fixed-rate and entropy-constrained designs are considered. For monochrome images, the fixed-rate TCQ-based systems provide gains in peak-signal-to-noise ratio (PSNR) of up to 3.32 dB over scalar quantizer-based systems, while the entropy-constrained designs provide gains of up to 7.50 dB. Gains in PSNR for color images of up to 1.76 dB and 3.93 dB are achieved for the fixed-rate and entropy-constrained TCQ-based systems, respectively. The high frequency background noise and fuzziness produced by scalar quantizer-based systems are virtually eliminated by the TCQ-based systems.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
Engineering, General.; Engineering, Electronics and Electrical.
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College
Degree Grantor:
University of Arizona
Advisor:
Marcellin, Michael W.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_US
dc.titleTransform coding of images using fixed-rate and entropy-constrained trellis coded quantizationen_US
dc.creatorTong, Kai-Loong, 1969-en_US
dc.contributor.authorTong, Kai-Loong, 1969-en_US
dc.date.issued1991en_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.abstractTrellis coded quantization (TCQ) is incorporated into a transform coding structure for encoding monochrome and color images at 1 bit/pixel. Both fixed-rate and entropy-constrained designs are considered. For monochrome images, the fixed-rate TCQ-based systems provide gains in peak-signal-to-noise ratio (PSNR) of up to 3.32 dB over scalar quantizer-based systems, while the entropy-constrained designs provide gains of up to 7.50 dB. Gains in PSNR for color images of up to 1.76 dB and 3.93 dB are achieved for the fixed-rate and entropy-constrained TCQ-based systems, respectively. The high frequency background noise and fuzziness produced by scalar quantizer-based systems are virtually eliminated by the TCQ-based systems.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)en_US
dc.subjectEngineering, General.en_US
dc.subjectEngineering, Electronics and Electrical.en_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorMarcellin, Michael W.en_US
dc.identifier.proquest1343832en_US
dc.identifier.bibrecord.b26882632en_US
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