{"title":"基于LSSVM预测PSNR的CT图像编码","authors":"Zixin Lin, Xin-Yu Jin, Changhao Zhao","doi":"10.1109/ITA.2013.18","DOIUrl":null,"url":null,"abstract":"With the development of remote telemedicine, the research of medical image compression with limited band is very important. In this paper, we analyze the features of kidney CT image and build LSSVM model to predict PSNR of ROI(Region of Interest) and BR(Background Region) of CT image. Then we propose a new method of encoding of CT image by predicting PSNR based on LSSVM, which has lower computational complexity and improves about 1/3 in encoding efficiency compared to the ROI encoding algorithm based on ISA-DWT. Besides, it can also achieve the effect of balancing ROI and BR as ISA-DWT algorithm.","PeriodicalId":285687,"journal":{"name":"2013 International Conference on Information Technology and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Encoding of CT Image by Predicting PSNR Based on LSSVM\",\"authors\":\"Zixin Lin, Xin-Yu Jin, Changhao Zhao\",\"doi\":\"10.1109/ITA.2013.18\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the development of remote telemedicine, the research of medical image compression with limited band is very important. In this paper, we analyze the features of kidney CT image and build LSSVM model to predict PSNR of ROI(Region of Interest) and BR(Background Region) of CT image. Then we propose a new method of encoding of CT image by predicting PSNR based on LSSVM, which has lower computational complexity and improves about 1/3 in encoding efficiency compared to the ROI encoding algorithm based on ISA-DWT. Besides, it can also achieve the effect of balancing ROI and BR as ISA-DWT algorithm.\",\"PeriodicalId\":285687,\"journal\":{\"name\":\"2013 International Conference on Information Technology and Applications\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Information Technology and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITA.2013.18\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Information Technology and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITA.2013.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Encoding of CT Image by Predicting PSNR Based on LSSVM
With the development of remote telemedicine, the research of medical image compression with limited band is very important. In this paper, we analyze the features of kidney CT image and build LSSVM model to predict PSNR of ROI(Region of Interest) and BR(Background Region) of CT image. Then we propose a new method of encoding of CT image by predicting PSNR based on LSSVM, which has lower computational complexity and improves about 1/3 in encoding efficiency compared to the ROI encoding algorithm based on ISA-DWT. Besides, it can also achieve the effect of balancing ROI and BR as ISA-DWT algorithm.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
