Sahar A. El Rahman, Hadeel Alshehri, Hussa Alnafia, Abeer F Alotaibi, Jawhar aljobair, Rawabi BinSaeed
{"title":"Interefernce Reduction in Embedded Medical Image","authors":"Sahar A. El Rahman, Hadeel Alshehri, Hussa Alnafia, Abeer F Alotaibi, Jawhar aljobair, Rawabi BinSaeed","doi":"10.1109/GCC45510.2019.1570519684","DOIUrl":null,"url":null,"abstract":"Patient file Number and finding is embedded inside the medical image provide significant information which should be unavailable to a un-authorized person who does not have an access to the image. The medical image effect by variant type of noise corrupt the image quality when it comes to protecting information in the medical image. In this project, we will present a method to interference reduction in the embedded medical image. A method Encrypt the patient file number and findings by using RSA and then embedding in a medical image by Discrete Wavelet Transform (DWT) technique. For reduction noise, we filter the medical image after the previous process by Median filter. With this system, any medical image that will be transferred will have the patient file numb0er and findings hidden and embedded in the image with better quality.","PeriodicalId":352754,"journal":{"name":"2019 IEEE 10th GCC Conference & Exhibition (GCC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 10th GCC Conference & Exhibition (GCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GCC45510.2019.1570519684","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Patient file Number and finding is embedded inside the medical image provide significant information which should be unavailable to a un-authorized person who does not have an access to the image. The medical image effect by variant type of noise corrupt the image quality when it comes to protecting information in the medical image. In this project, we will present a method to interference reduction in the embedded medical image. A method Encrypt the patient file number and findings by using RSA and then embedding in a medical image by Discrete Wavelet Transform (DWT) technique. For reduction noise, we filter the medical image after the previous process by Median filter. With this system, any medical image that will be transferred will have the patient file numb0er and findings hidden and embedded in the image with better quality.