{"title":"基于混合预测的无损图像压缩方法","authors":"G. Ulacha, P. Dziurzański","doi":"10.1109/INFTECH.2008.4621685","DOIUrl":null,"url":null,"abstract":"An approach for blending-prediction-based lossless compression of images together with its system-level model utilizing a NoC-based multicore realization is presented in this paper. We utilize a multi-path routing algorithm and heuristic algorithms for core mapping in order to balance and minimize transfers between cores realizing subsequent stages of the compression algorithm. The experimental results confirming the applicability of the proposed approach are provided.","PeriodicalId":247264,"journal":{"name":"2008 1st International Conference on Information Technology","volume":"195 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Blending-prediction-based approach for lossless image compression\",\"authors\":\"G. Ulacha, P. Dziurzański\",\"doi\":\"10.1109/INFTECH.2008.4621685\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An approach for blending-prediction-based lossless compression of images together with its system-level model utilizing a NoC-based multicore realization is presented in this paper. We utilize a multi-path routing algorithm and heuristic algorithms for core mapping in order to balance and minimize transfers between cores realizing subsequent stages of the compression algorithm. The experimental results confirming the applicability of the proposed approach are provided.\",\"PeriodicalId\":247264,\"journal\":{\"name\":\"2008 1st International Conference on Information Technology\",\"volume\":\"195 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-05-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 1st International Conference on Information Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFTECH.2008.4621685\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 1st International Conference on Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFTECH.2008.4621685","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Blending-prediction-based approach for lossless image compression
An approach for blending-prediction-based lossless compression of images together with its system-level model utilizing a NoC-based multicore realization is presented in this paper. We utilize a multi-path routing algorithm and heuristic algorithms for core mapping in order to balance and minimize transfers between cores realizing subsequent stages of the compression algorithm. The experimental results confirming the applicability of the proposed approach are provided.