Title :
Results on successive approximation vector quantisation
Author :
Craizer, M. ; Silva, E. A B da ; Ramos, E.G.
Author_Institution :
Dept. de Math., Pontificia Univ. Catolica do Rio de Janeiro, Brazil
fDate :
1/8/1998 12:00:00 AM
Abstract :
Successive approximation vector quantisation is a new algorithm that has given very good results in coding wavelet coefficients of images. Results which had been previously obtained on an experimental basis are established analytically. After modifications derived from this analysis, the algorithm shows very good convergence properties, as well as an improved coding performance
Keywords :
convergence of numerical methods; image coding; vector quantisation; wavelet transforms; coding performance; convergence properties; image coding; successive approximation vector quantisation; wavelet coefficients;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19980052
