Persistent Link:
http://hdl.handle.net/10150/282900
Title:
Joint source/channel coding for image and video transmission
Author:
Wu, Zhenyu
Issue Date:
2005
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 the rapid growth of data communication infrastructure, there has been an increasing demand for multimedia communication services over the past years. This rapid growth has posed new requirements and challenges in many related research areas. This dissertation studies the problem of efficient and robust transmission of image and video contents over noisy channels. Firstly, joint source/channel coding algorithms are proposed for image transmission based on the new image coding standard JPEG2000. By combining the forward error correction capability provided by channel coding, together with the scalability and error resilience (ER) features provided by JPEG2000, the algorithm can achieve unequal error protection gains as well as robust source decoding for single image transmission over band-limited channels. Secondly, joint source/channel coding algorithms for multiple sources transmission over a common channel sharing a given total bandwidth are proposed. The algorithms exploit the rate-distortion diversity among multiple sources to optimally distribute a total bit rate given by the channel. It is demonstrated that both improved quality and reduced quality variance can be achieved at the receiver by the proposed algorithms. Finally, a robust image transmission scheme is proposed for packet erasure channels. The algorithm is based on the ER functionalities provided by JPEG2000 for robust source decoding. Together with the proposed interleaving scheme, some erasures can be recovered without channel coding.
Type:
text; Dissertation-Reproduction (electronic)
Keywords:
Engineering, Electronics and Electrical.
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.titleJoint source/channel coding for image and video transmissionen_US
dc.creatorWu, Zhenyuen_US
dc.contributor.authorWu, Zhenyuen_US
dc.date.issued2005en_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 the rapid growth of data communication infrastructure, there has been an increasing demand for multimedia communication services over the past years. This rapid growth has posed new requirements and challenges in many related research areas. This dissertation studies the problem of efficient and robust transmission of image and video contents over noisy channels. Firstly, joint source/channel coding algorithms are proposed for image transmission based on the new image coding standard JPEG2000. By combining the forward error correction capability provided by channel coding, together with the scalability and error resilience (ER) features provided by JPEG2000, the algorithm can achieve unequal error protection gains as well as robust source decoding for single image transmission over band-limited channels. Secondly, joint source/channel coding algorithms for multiple sources transmission over a common channel sharing a given total bandwidth are proposed. The algorithms exploit the rate-distortion diversity among multiple sources to optimally distribute a total bit rate given by the channel. It is demonstrated that both improved quality and reduced quality variance can be achieved at the receiver by the proposed algorithms. Finally, a robust image transmission scheme is proposed for packet erasure channels. The algorithm is based on the ER functionalities provided by JPEG2000 for robust source decoding. Together with the proposed interleaving scheme, some erasures can be recovered without channel coding.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
dc.subjectEngineering, Electronics and Electrical.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.proquest3177544en_US
dc.identifier.bibrecord.b49001401en_US
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