DocumentCode :
315849
Title :
Novel codebook design techniques for vector quantization image compression
Author :
Masselos, K. ; Merakos, P. ; Stouraitis, T. ; Goutis, C.E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Patras Univ., Greece
Volume :
2
fYear :
1997
fDate :
9-12 Jun 1997
Firstpage :
1321
Abstract :
In this paper new techniques for codebook design are presented. A new algorithm for codebook design is described. Specific characteristics of the blocks of the training sequence are taken into consideration during generation of the initial codebook. Beginning with a representative initial codebook the iterative optimization procedure converges quickly in representative final codebook which in turn leads to high output image quality. A technique for computational extension of small codebooks is also proposed. It is based on the application of simple transformations on the codewords. The reduced memory requirements of the proposed technique makes it very useful for applications requiring low-power consumption
Keywords :
image coding; iterative methods; vector quantisation; VQ image compression; codebook design techniques; iterative optimization; low-power consumption; reduced memory requirements; training sequence; vector quantization; Algorithm design and analysis; Character generation; Fuzzy neural networks; Image coding; Image quality; Iterative algorithms; Neural networks; Simulated annealing; Vector quantization; Very large scale integration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
Type :
conf
DOI :
10.1109/ISCAS.1997.622095
Filename :
622095
Link To Document :
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