Proceedings Paper
Image pyramid coding with multirate entropy-constrained pairwise nearest neighbor codebook design| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
A new algorithm for multirate vector quantization is used for coding image pyramids. The algorithm, called alphabet- and entropy-constrained pairwise-nearest-neighbor (AECPNN), design codebooks choosing sub-codebooks from a large generic codebook. The algorithm is the natural extension of the ECPNN design technique with constrained alphabet. Results of coded image pyramids of the present algorithm are comparable to the ECPNN design technique.
Paper Details
Date Published: 19 May 1992
PDF: 10 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58314
Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)
PDF: 10 pages
Proc. SPIE 1657, Image Processing Algorithms and Techniques III, (19 May 1992); doi: 10.1117/12.58314
Show Author Affiliations
Diego Pinto de Garrido, Rensselaer Polytechnic Institute (United States)
William A. Pearlman, Rensselaer Polytechnic Institute (United States)
William A. Pearlman, Rensselaer Polytechnic Institute (United States)
Weiler A. Finamore, Pontificia Univ. Catolica do Rio de Janeiro (Brazil)
Published in SPIE Proceedings Vol. 1657:
Image Processing Algorithms and Techniques III
James R. Sullivan; Benjamin M. Dawson; Majid Rabbani, Editor(s)
© SPIE. Terms of Use
