Scalable and robust image transmission using block-based layered set partitioning in hierarchical trees

Wen Jyi Hwang, Ching Fung Chine, Wen Liang Hwang

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a new image coding algorithm for scalable and robust image transmission. The algorithm, termed block-based layered set partitioning in hierarchical tree (B-LSPIHT), has both SNR and resolution scalabilities, and Its performance is resilient to transmission errors. In the algorithm, the number of layers and the rate and resolution associated with each layer can be specified before encoding. Starting from the base layer, B-LSPIHT encodes one layer at a time until the design of the top layer is completed. The transmission errors are localized using a block-based method. The bits allocated to each block are determined by a dynamic programming technique based on the ratedistortion function computed from the channel models. Numerical results show that the B-LSPIHT algorithm is effective for constructing layered image transmission systems over noisy channels.

Original languageEnglish
Pages (from-to)1397-1404
Number of pages8
JournalOptical Engineering
Volume42
Issue number5
DOIs
Publication statusPublished - 2003 May 1

Keywords

  • Image coding
  • Image transmission
  • Wavelet transform

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Fingerprint Dive into the research topics of 'Scalable and robust image transmission using block-based layered set partitioning in hierarchical trees'. Together they form a unique fingerprint.

  • Cite this