Image coding for telecommunications

Parthasarathy Sriram, Michael W. Marcellin

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

Abstract

The application of transform and wavelet coding to encode monochrome images is investigated. The proposed image coders are based on entropy-constrained trellis coded quantization. Excellent peak-signal-to-noise ratios were obtained for encoding the monochrome version of the 512×512 Lenna image. Comparisons with other results from the literature reveal that the proposed image coders are quite competitive.

Original languageEnglish (US)
Title of host publicationProceedings of Phoenix Conference on Computers and Communications, PCCC 1993
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages376-377
Number of pages2
ISBN (Electronic)0780309227, 9780780309227
DOIs
StatePublished - Jan 1 1993
Event1993 Phoenix Conference on Computers and Communications, PCCC 1993 - Tempe, United States
Duration: Mar 23 1993Mar 26 1993

Publication series

NameProceedings of Phoenix Conference on Computers and Communications, PCCC 1993

Conference

Conference1993 Phoenix Conference on Computers and Communications, PCCC 1993
CountryUnited States
CityTempe
Period3/23/933/26/93

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Hardware and Architecture
  • Software

Fingerprint Dive into the research topics of 'Image coding for telecommunications'. Together they form a unique fingerprint.

  • Cite this

    Sriram, P., & Marcellin, M. W. (1993). Image coding for telecommunications. In Proceedings of Phoenix Conference on Computers and Communications, PCCC 1993 (pp. 376-377). [344504] (Proceedings of Phoenix Conference on Computers and Communications, PCCC 1993). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PCCC.1993.344504