{"title":"基于TMS320C30的自适应神经网络矢量量化算法及其在彩色图像编码中的实现","authors":"W. Xuejun, Xu Yong, C. Hexin","doi":"10.1109/IVEC.1999.830681","DOIUrl":null,"url":null,"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.","PeriodicalId":191336,"journal":{"name":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","volume":"262 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An adaptive neural network vector quantization algorithm and its implementation based on TMS320C30 in color image coding\",\"authors\":\"W. Xuejun, Xu Yong, C. Hexin\",\"doi\":\"10.1109/IVEC.1999.830681\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":191336,\"journal\":{\"name\":\"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)\",\"volume\":\"262 \",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-09-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVEC.1999.830681\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVEC.1999.830681","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An adaptive neural network vector quantization algorithm and its implementation based on TMS320C30 in color image coding
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.