Wavelet transform image sequence coder using nonstationary displacement estimation

Mark R. Banham*, James C. Brailean, Aggelos K Katsaggelos

*Corresponding author for this work

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

2 Scopus citations


In this paper, we present a novel coding technique which makes use of the nonstationary characteristics of an image sequence displacement field to estimate and encode motion information. In addition, we develop a wavelet transform approach using cross-scale vector quantization to encode single frames during periods of high motion and scene changes. The objective of this design is to demonstrate the coding potential of a newly developed motion estimator called the Compound Linearized MAP (CLMAP) estimator. This estimator can be used as a means for producing motion vectors which may be regenerated at the decoder with a coarsely quantized error term created in the encoder. The motion estimator generates highly accurate motion estimates. This permits the elimination of a separately coded displaced frame difference (DFD) and coded motion vectors. We exploit both the advantages of the nonstationary motion estimator and the edge preserving quality of the wavelet based still frame coder to improve the visual quality of reconstructed video-conferencing image sequences, at low bit rates.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Number of pages12
Editionpt 1
ISBN (Print)0819410187
StatePublished - Jan 1 1993
EventVisual Communications and Image Processing '92 - Boston, MA, USA
Duration: Nov 18 1992Nov 20 1992

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 1
ISSN (Print)0277-786X


OtherVisual Communications and Image Processing '92
CityBoston, MA, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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