DocumentCode
412971
Title
Color image compression using combined VQ algorithms
Author
Al-Otum, Hazem Ahmad Munawer
Author_Institution
EE Dept., Jordan Univ. of Sci. & Technol., Irbid, Jordan
Volume
1
fYear
2003
fDate
14-17 Dec. 2003
Firstpage
100
Abstract
In this paper, two VQ algorithms are introduced: (1) VQ with a fast clustering algorithm (VQ-FCA) that can be implemented for codebook production, and (2) VQ with a partially reordered codebook (VQ-PRCB), that extracts the correlation between adjacent VQ indices. Based on these algorithms, two schemes are proposed: (1) 2D VQ, and (2) combined 3D VQ schemes. Experimental results are compared with other algorithms to show its advantages.
Keywords
data compression; image coding; image colour analysis; vector quantisation; 2D VQ schemes; VQ-FCA; VQ-PRCB; adjacent VQ indices; codebook production; color image compression; combined 3D VQ schemes; combined VQ algorithms; fast clustering algorithm; partially reordered codebook; Clustering algorithms; Color; IEEE members; Image coding; Iterative algorithms; Production; Statistics; Vector quantization; Video compression; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2003. ICECS 2003. Proceedings of the 2003 10th IEEE International Conference on
Print_ISBN
0-7803-8163-7
Type
conf
DOI
10.1109/ICECS.2003.1301986
Filename
1301986
Link To Document