Joint source/channel coding for multiple images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A joint source/channel coding algorithm is proposed for the transmission of multiple image sources over memoryless channels. The proposed algorithm uses a quality scalable image coder to optimally allocate a limited bit budget among all the sources to achieve the optimal overall distortion reduction for the multiple reconstructed images. In addition to the conventional unequal error protection gain, it provides channel multiplexing gain which can be much more significant. Furthermore, an extended scheme is proposed to provide flexibility between the optimization performance and complexity.

Original languageEnglish (US)
Title of host publicationGLOBECOM - IEEE Global Telecommunications Conference
Pages2313-2317
Number of pages5
Volume4
Publication statusPublished - 2004
EventGLOBECOM'04 - IEEE Global Telecommunications Conference - Dallas, TX, United States
Duration: Nov 29 2004Dec 3 2004

Other

OtherGLOBECOM'04 - IEEE Global Telecommunications Conference
CountryUnited States
CityDallas, TX
Period11/29/0412/3/04

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Wu, Z., Bilgin, A., & Marcellin, M. W. (2004). Joint source/channel coding for multiple images. In GLOBECOM - IEEE Global Telecommunications Conference (Vol. 4, pp. 2313-2317). [SP02-3]