{"title":"Discrete Cosine Transform Space for Hiding Patient Information in the Medical Images","authors":"Mohamed Ali Hajjaji, M. Gafsi, A. Mtibaa","doi":"10.1109/DTSS.2019.8914880","DOIUrl":null,"url":null,"abstract":"Main idea of this work is the proposition of a robust watermarking scheme applied in the medical domain. This scheme is invisible and robust against many attacks. Our work consists to hiding the information specific to the patient into the host image in order to control integrity, authentication of the patient information. In this technique the standard JPEG compression is used for embedding data own to the patient in their medical image. For the insertion and extraction steps of the watermark, we chose to their affect that just after the quantization phase. For the proper identification, of inserted data, the serial Errors Correcting Codes (ECC) is used for verification and correcting errors produced on the data already inserted. For evaluation our proposed scheme, several type of medicals image are used such as MRI, Echographic, and Radiographic images.","PeriodicalId":342516,"journal":{"name":"2019 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","volume":"166 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Design & Test of Integrated Micro & Nano-Systems (DTS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTSS.2019.8914880","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
Main idea of this work is the proposition of a robust watermarking scheme applied in the medical domain. This scheme is invisible and robust against many attacks. Our work consists to hiding the information specific to the patient into the host image in order to control integrity, authentication of the patient information. In this technique the standard JPEG compression is used for embedding data own to the patient in their medical image. For the insertion and extraction steps of the watermark, we chose to their affect that just after the quantization phase. For the proper identification, of inserted data, the serial Errors Correcting Codes (ECC) is used for verification and correcting errors produced on the data already inserted. For evaluation our proposed scheme, several type of medicals image are used such as MRI, Echographic, and Radiographic images.