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Proceedings Paper

Predictive Trellis Encoding Of Imagery
Author(s): Todd H. Chauvin; Thomas R. Fischer
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Paper Abstract

An intraframe encoding system is described that uses trellis coded vector quantization in both open- and closed-loop configurations. In the open-loop case, a source (image) is blocked into vectors and encoded using an efficient trellis search. In the closed-loop configuration, the difference signal between a source (image) vector and a vector prediction is encoded. An algorithm is described for the design of codebooks for use in trellis coded vector quantization. The performance is evaluated by simulation for a variety of encoding rates and vector codebook dimensions.

Paper Details

Date Published: 5 September 1989
PDF: 10 pages
Proc. SPIE 1099, Advances in Image Compression and Automatic Target Recognition, (5 September 1989); doi: 10.1117/12.960465
Show Author Affiliations
Todd H. Chauvin, Texas A&M University (United States)
Thomas R. Fischer, Washington State University (United States)

Published in SPIE Proceedings Vol. 1099:
Advances in Image Compression and Automatic Target Recognition
Andrew G. Tescher, Editor(s)

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