Joint source-channel rate allocation in parallel channels

Lingling Pu; Michael W. Marcellin; Ivan Djordjevic; Bane Vasic; Ali Bilgin

doi:10.1109/TIP.2007.901810

Joint source-channel rate allocation in parallel channels

Lingling Pu, Michael W. Marcellin, Ivan Djordjevic, Bane Vasic, Ali Bilgin

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

A fast rate-optimal rate allocation algorithm is proposed for parallel transmission of scalable images in multichannel systems. Scalable images are transmitted via fixed-length packets. The proposed algorithm selects a subchannel, as well as a channel code rate for each packet, based on the signal-to-noise ratios (SNRs) of the subchannels. The resulting scheme provides unequal error protection of source bits and significant gains are obtained over equal error protection schemes. An application of the proposed algorithm to JPEG2000 transmission shows the advantages of exploiting differences in SNRs between subchannels. Multiplexing of multiple sources is also considered, and additional gains are achieved by exploiting information diversity among the sources.

Original language	English (US)
Pages (from-to)	2016-2022
Number of pages	7
Journal	IEEE Transactions on Image Processing
Volume	16
Issue number	8
DOIs	https://doi.org/10.1109/TIP.2007.901810
State	Published - Aug 2007

Keywords

JPEG2000
Joint source/channel coding
Parallel channels
Rate allocation

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/TIP.2007.901810

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title = "Joint source-channel rate allocation in parallel channels",

abstract = "A fast rate-optimal rate allocation algorithm is proposed for parallel transmission of scalable images in multichannel systems. Scalable images are transmitted via fixed-length packets. The proposed algorithm selects a subchannel, as well as a channel code rate for each packet, based on the signal-to-noise ratios (SNRs) of the subchannels. The resulting scheme provides unequal error protection of source bits and significant gains are obtained over equal error protection schemes. An application of the proposed algorithm to JPEG2000 transmission shows the advantages of exploiting differences in SNRs between subchannels. Multiplexing of multiple sources is also considered, and additional gains are achieved by exploiting information diversity among the sources.",

keywords = "JPEG2000, Joint source/channel coding, Parallel channels, Rate allocation",

author = "Lingling Pu and Marcellin, {Michael W.} and Ivan Djordjevic and Bane Vasic and Ali Bilgin",

note = "Funding Information: Manuscript received October 16, 2006; revised May 10, 2007. This work was supported in part by the National Science Foundation under Grant CCR-9979310 and Grant ANI-0325979. Portions of this work were presented at the IS&T/SPIE 19th Annual Symposium on Electronic Imaging, San Jose, CA, January, 2007. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Aria Nosratinia.",

year = "2007",

month = aug,

doi = "10.1109/TIP.2007.901810",

language = "English (US)",

volume = "16",

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journal = "IEEE Transactions on Image Processing",

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T1 - Joint source-channel rate allocation in parallel channels

AU - Pu, Lingling

AU - Marcellin, Michael W.

AU - Djordjevic, Ivan

AU - Vasic, Bane

AU - Bilgin, Ali

N1 - Funding Information: Manuscript received October 16, 2006; revised May 10, 2007. This work was supported in part by the National Science Foundation under Grant CCR-9979310 and Grant ANI-0325979. Portions of this work were presented at the IS&T/SPIE 19th Annual Symposium on Electronic Imaging, San Jose, CA, January, 2007. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Aria Nosratinia.

PY - 2007/8

Y1 - 2007/8

N2 - A fast rate-optimal rate allocation algorithm is proposed for parallel transmission of scalable images in multichannel systems. Scalable images are transmitted via fixed-length packets. The proposed algorithm selects a subchannel, as well as a channel code rate for each packet, based on the signal-to-noise ratios (SNRs) of the subchannels. The resulting scheme provides unequal error protection of source bits and significant gains are obtained over equal error protection schemes. An application of the proposed algorithm to JPEG2000 transmission shows the advantages of exploiting differences in SNRs between subchannels. Multiplexing of multiple sources is also considered, and additional gains are achieved by exploiting information diversity among the sources.

AB - A fast rate-optimal rate allocation algorithm is proposed for parallel transmission of scalable images in multichannel systems. Scalable images are transmitted via fixed-length packets. The proposed algorithm selects a subchannel, as well as a channel code rate for each packet, based on the signal-to-noise ratios (SNRs) of the subchannels. The resulting scheme provides unequal error protection of source bits and significant gains are obtained over equal error protection schemes. An application of the proposed algorithm to JPEG2000 transmission shows the advantages of exploiting differences in SNRs between subchannels. Multiplexing of multiple sources is also considered, and additional gains are achieved by exploiting information diversity among the sources.

KW - JPEG2000

KW - Joint source/channel coding

KW - Parallel channels

KW - Rate allocation

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EP - 2022

JO - IEEE Transactions on Image Processing

JF - IEEE Transactions on Image Processing

SN - 1057-7149

IS - 8

ER -

Joint source-channel rate allocation in parallel channels

Abstract

Keywords

ASJC Scopus subject areas

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