Persistent Link:
http://hdl.handle.net/10150/278018
Title:
Subband coding of images using trellis coded quantization
Author:
VonColln, Eric, 1967-
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:
An image coding scheme combining subband coding and the established energy compaction technique of the discrete cosine transform (DCT) with trellis coded quantization (TCQ) is introduced. Image spectrums are split into 16 subband images using a quadrature mirror filter bank, and the DCT is performed on the lowest subband. The data is quantized using TCQ, transmitted and recombined at the receiver. It is shown that quantizing the subband data with TCQ decreases the mean-squared error (MSE) incurred in the quantization step, versus that of a Lloyd-Max scalar quantizer.
Type:
text; Thesis-Reproduction (electronic)
Keywords:
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.titleSubband coding of images using trellis coded quantizationen_US
dc.creatorVonColln, Eric, 1967-en_US
dc.contributor.authorVonColln, Eric, 1967-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.abstractAn image coding scheme combining subband coding and the established energy compaction technique of the discrete cosine transform (DCT) with trellis coded quantization (TCQ) is introduced. Image spectrums are split into 16 subband images using a quadrature mirror filter bank, and the DCT is performed on the lowest subband. The data is quantized using TCQ, transmitted and recombined at the receiver. It is shown that quantizing the subband data with TCQ decreases the mean-squared error (MSE) incurred in the quantization step, versus that of a Lloyd-Max scalar quantizer.en_US
dc.typetexten_US
dc.typeThesis-Reproduction (electronic)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.proquest1346440en_US
dc.identifier.bibrecord.b27227741en_US
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