DocumentCode
2029970
Title
Sub-band coding of images using adaptive VQ and entropy coding
Author
Furlan, G. ; Galand, C. ; Lançon, E. ; Menez, J.
Author_Institution
Centre d´´Etudes et Recherches, IBM France, La Gaude, France
fYear
1991
fDate
14-17 Apr 1991
Firstpage
2665
Abstract
A study of a subband-based compression algorithm for still pictures is reported. A nonuniform band splitting is performed, then each subband signal is quantized by an adaptive vector quantizer with dynamic bit allocation. The output of each vector quantizer is processed by an arithmetic coder. Simulation results are reported, and it is shown that images of size 256×256 pixels with 265 gray levels can be encoded with excellent quality at rates between 0.5 and 1 bit/pixel and with good quality at rates below 0.3 bit pixel
Keywords
data compression; encoding; picture processing; 256 pixel; 65536 pixel; adaptive VQ; adaptive vector quantizer; arithmetic coder; compression algorithm; dynamic bit allocation; entropy coding; gray levels; image quality; nonuniform band splitting; still pictures; subband signal; Arithmetic; Bit rate; Compression algorithms; Discrete cosine transforms; Entropy coding; Frequency; Image coding; Pixel; Standards development; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location
Toronto, Ont.
ISSN
1520-6149
Print_ISBN
0-7803-0003-3
Type
conf
DOI
10.1109/ICASSP.1991.150950
Filename
150950
Link To Document