DocumentCode :
2605942
Title :
On the optimal transform for vector quantization of images
Author :
Cay, M. Atif ; Li, Weiping ; Zhang, Ya-Qin
Author_Institution :
EECS Dept., Lehigh Univ., Bethlehem, PA, USA
fYear :
1993
fDate :
3-6 May 1993
Firstpage :
687
Abstract :
Transform coding is widely used for image compression. If vector quantization is used in the transform domain, the definition of the optimal transform should be modified because the performance of vector quantization is better when the components within each vector are more correlated. The attributes of the optimal transform for vector quantization are discussed. It is shown how to construct the optimal transform for vector quantization based on the first order Markov model of images
Keywords :
Markov processes; image coding; transform coding; vector quantisation; first order Markov model; optimal transform; transform coding; vector quantization; Decorrelation; Discrete cosine transforms; Discrete transforms; Energy measurement; Image coding; Karhunen-Loeve transforms; Laboratories; Pixel; Transform coding; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
Type :
conf
DOI :
10.1109/ISCAS.1993.393814
Filename :
393814
Link To Document :
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