DocumentCode
3006975
Title
Vector quantization in transformed image coding
Author
Marescq, J.P. ; Labit, C.
Author_Institution
IRISA/Centre INRIA de Rennes, Rennes Cedex, France
Volume
11
fYear
1986
fDate
31503
Firstpage
145
Lastpage
148
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
Type
conf
DOI
10.1109/ICASSP.1986.1169097
Filename
1169097
Link To Document