{"title":"片上图像压缩的光滑边界点自适应量化","authors":"C. Shoushun, A. Bermak, Wang Yan, D. Martinez","doi":"10.1109/ICM.2006.373305","DOIUrl":null,"url":null,"abstract":"This paper proposed a smooth boundary point adaptive quantization scheme used for image compression. The proposed algorithm is first validated through Matlab simulation then implemented together with a CMOS image sensor. Simulation and experimental results show that compression figures corresponding to 0.6-0.8 bit-per-pixel are achieved while maintaining reasonable image quality.","PeriodicalId":284717,"journal":{"name":"2006 International Conference on Microelectronics","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Smooth Boundary Point Adaptive Quantizer for on-chip Image Compression\",\"authors\":\"C. Shoushun, A. Bermak, Wang Yan, D. Martinez\",\"doi\":\"10.1109/ICM.2006.373305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposed a smooth boundary point adaptive quantization scheme used for image compression. The proposed algorithm is first validated through Matlab simulation then implemented together with a CMOS image sensor. Simulation and experimental results show that compression figures corresponding to 0.6-0.8 bit-per-pixel are achieved while maintaining reasonable image quality.\",\"PeriodicalId\":284717,\"journal\":{\"name\":\"2006 International Conference on Microelectronics\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Conference on Microelectronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICM.2006.373305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Microelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICM.2006.373305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Smooth Boundary Point Adaptive Quantizer for on-chip Image Compression
This paper proposed a smooth boundary point adaptive quantization scheme used for image compression. The proposed algorithm is first validated through Matlab simulation then implemented together with a CMOS image sensor. Simulation and experimental results show that compression figures corresponding to 0.6-0.8 bit-per-pixel are achieved while maintaining reasonable image quality.