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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-0003-3
DOI :
10.1109/ICASSP.1991.150950
