Scalable image coding using Gaussian pyramid vector quantisation with resolution-independent block size

L. Cieplinski, M.I. Bober
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing  
We present a new approach t o m ultiresolution vector quantisation. Its main advantage is exploitation of long-range correlations in the image by k eeping 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 rening only those areas of the image which are not eciently approximated by l o w er resolutions of the pyramid.
doi:10.1109/icassp.1997.595408 dblp:conf/icassp/CieplinskiB97 fatcat:ozmqy2f3rnhn3dok764wqklwjm