DocumentCode
3584611
Title
Scalable image coding using Gaussian pyramid vector quantisation with resolution-independent block size
Author
Cieplinski, Leszek ; Bober, Miroslaw
Author_Institution
Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
Volume
4
fYear
1997
Firstpage
2949
Abstract
We present a new approach to multiresolution vector quantisation. Its main advantage is exploitation of long-range correlations in the image by keeping the vector size constant, independent of the image scale. We also developed a variable block-rate version of the algorithm, which allows better utilisation of the available bit budget by refining only those areas of the image which are not efficiently approximated by lower resolutions of the pyramid
Keywords
Gaussian processes; correlation methods; image coding; image resolution; vector quantisation; Gaussian pyramid vector quantisation; bit budget; image areas; image resolution; image scale; long range correlations; resolution independent block size; scalable image coding; variable block rate algorithm; vector size constant; Biomedical imaging; Bit rate; Computational complexity; Energy resolution; Humans; Image coding; Image resolution; Spatial resolution; Vector quantization; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-8186-7919-0
Type
conf
DOI
10.1109/ICASSP.1997.595408
Filename
595408
Link To Document