Joint source/channel coding for multiple images

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


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 un 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)
Pages (from-to)1648-1654
Number of pages7
JournalIEEE Transactions on Communications
Issue number10
StatePublished - Oct 2005


  • Joint source/channel coding
  • Scalable source coding
  • Un (UEP)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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