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A comparison of one- and two-dimensional vector quantization of images

  • Aiman El-Maleh*
  • , Fayez El-Guibaly
  • , Vijay Bhargava
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The authors discuss results for compressing images using both 2-D and 1-D vector quantization (VQ). Typically, an image is scanned in a line-by-line basis. The 2-D technique is based on a window that spans several adjacent lines. The 1-D technique is based on a window that spans a portion of a single line. The advantages of the 1-D scheme are considerable reduction in implementation complexity, reduced storage requirement, and a faster encoder response. Problems encountered in the 1-D technique are discussed and compared to the problems encountered in the 2-D technique. Methods to improve the perceptual quality for 1-D coding are given.

Original languageEnglish
Title of host publicationIEEE Pacific Rim Conference on Communications, Computers and Signal Processing. Conference Proceedings
Editors Anon
PublisherPubl by IEEE
Pages490-493
Number of pages4
ISBN (Print)0879426381
StatePublished - 1991

Publication series

NameIEEE Pacific Rim Conference on Communications, Computers and Signal Processing. Conference Proceedings

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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