DocumentCode :
1801124
Title :
An adaptive neural network vector quantization algorithm and its implementation based on TMS320C30 in color image coding
Author :
Xuejun, Wang ; Yong, Xu ; Hexin, Chen
Author_Institution :
Dept. of Comput., Changchun Inst. of Posts & Telecommun., China
fYear :
1999
fDate :
1999
Firstpage :
265
Abstract :
In this paper, an adaptive neural network vector quantization algorithm is proposed first, then using this algorithm, an implementation based on TMS320C30 processor is developed in a color image coding system. The results show a better image quality by using this algorithm and that the color image coding system is effective
Keywords :
digital signal processing chips; image coding; self-organising feature maps; vector quantisation; TMS320C30 processor; adaptive neural network vector quantization algorithm; color image coding; image quality; self-organising feature maps; Adaptive systems; Algorithm design and analysis; Color; Image coding; Iterative algorithms; Neural networks; Optical signal processing; Partial response channels; Signal processing algorithms; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicle Electronics Conference, 1999. (IVEC '99) Proceedings of the IEEE International
Conference_Location :
Changchun
Print_ISBN :
0-7803-5296-3
Type :
conf
DOI :
10.1109/IVEC.1999.830681
Filename :
830681
Link To Document :
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