An adaptive vector quantization based on neural network

被引：0
|
作者：
Qiu, BS
Qi, JQ
An, P
Zhang, DC
机构：
来源：
ICSP '96 - 1996 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II | 1996年
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D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, some vector quantization algorithm are first survived. Then, an adaptive vector quantization method for image coding based on neural network is proposed, This method first partitions image into subimage and transforms them with DCT, and then classifies and encodes them in transformed domain using FSCL. The experiment results show that this VQ method has not local region distortion and has a high compressing ratio.
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页码：1413 / 1416
页数：4
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