DocumentCode
2032014
Title
Improvements on stochastic vector quantization of images
Author
Torres, L. ; Salillas, J.
Author_Institution
ETSIT-U Univ. Politecnica de Catalunya, Barcelona, Spain
Volume
5
fYear
1993
fDate
27-30 April 1993
Firstpage
237
Abstract
A novel nonadaptive fixed-rate vector quantizer encoding scheme is presented, and preliminary results are shown. The design of the codebook has been based on a stochastic approach in order to match a previously defined model for the image to be encoded. Following this approach, the generation of the codebook is made extremely simple in terms of computational load. Good visual results are shown in the range of 0.5-0.8 bit/pixel. Much better performance is expected for adaptive schemes.<>
Keywords
computational complexity; image coding; stochastic processes; vector quantisation; codebook; computational load; images; nonadaptive fixed-rate vector quantizer; performance; stochastic vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319791
Filename
319791
Link To Document