Multiple codebook decoding of VQ compressed images

Ajai Narayan, John F. Doherty

Research output: Contribution to journalConference article

Abstract

This paper proposes an implementation for Vector Quantizers (VQ) with one-codebook encoding and multiple-codebook decoding. The technique uses a convex projections (CP) based algorithm to iteratively project a coarsely encoded image onto a better codebook(s) during decoding. The objective of this approach is to encode edge vectors vestigially. This drastically reduces the number of edge vector representations at the encoder and hence results in fast searches. Also this method works better on images outside the training set since encoding is less dependent on the edges.

Original languageEnglish (US)
Pages (from-to)2028-2031
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume4
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: May 7 1996May 10 1996

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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