DocumentCode
284870
Title
Multirate codebook design with the entropy-constrained pairwise nearest neighbor (ECPNN) algorithm
Author
De Garrido, Diego P. ; Pearlman, William A.
Author_Institution
Dept. of Electr., Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume
3
fYear
1992
fDate
23-26 Mar 1992
Firstpage
373
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), designs codebooks choosing subcodebooks from a large generic codebook. The algorithm is the natural extension of the ECPNN design technique with constrained alphabet. Results of coded image pyramids obtained using the present algorithm are comparable to results for the ECPNN design technique
Keywords
entropy; image coding; vector quantisation; AECPNN; ECPNN algorithm; alphabet and entropy-constrained pairwise-nearest-neighbor; image coding; image pyramids; multirate codebook design; vector quantization; Algorithm design and analysis; Books; Image coding; Image storage; Lagrangian functions; Merging; Nearest neighbor searches; Rate-distortion; Systems engineering and theory; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on
Conference_Location
San Francisco, CA
ISSN
1520-6149
Print_ISBN
0-7803-0532-9
Type
conf
DOI
10.1109/ICASSP.1992.226223
Filename
226223
Link To Document