Title :
Vector quantization in transformed image coding
Author :
Marescq, J.P. ; Labit, C.
Author_Institution :
IRISA/Centre INRIA de Rennes, Rennes Cedex, France
Abstract :
This paper describes a new method which combines vector quantization (VQ) and orthogonal transform coding schemes. The use of these two techniques in image coding allows efficient bit-rate reduction (about 8-10) with an original-like reconstruction quality and easy introduction of visual properties both in classification procedure and codebook design. Recent work, including classification algorithm and transformed coefficients coding is presented. Then, image sequence coding using VQ is discussed and some strategies for codebook refreshment are proposed.
Keywords :
Classification algorithms; Classification tree analysis; Clustering algorithms; Decision trees; Image coding; Image sampling; Sampling methods; Transform coding; Vector quantization; Visual perception;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
DOI :
10.1109/ICASSP.1986.1169097