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  • 标题:Embedding and Extraction Techniques for Medical Images-Issues and Challenges
  • 本地全文:下载
  • 作者:S.Priya ; R.Varatharajan
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2015
  • 卷号:5
  • 期号:13
  • 页码:179-192
  • DOI:10.5121/csit.2015.51316
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:New technologies in multimedia and communication fields have introduced new ways totransfer and save the medical image data through open networks, which has introduced newrisks of inappropriate use of medical information. Medical images are highly sensitive hencesecured transmission and reception of data is needed with minimal distortion. Medical imagesecurity plays an important role in the field of Telemedicine. Telemedicine has numerousapplications in teleconsulting, teleradiology, telediagnosis, telesurgery and remote medicaleducation. Our work is to analyze about the different embedding techniques that can be usedfor embedding the personal and diagnosed details of a person within the medical imageswithout any visual discrepancy. Also to survey about the blind extraction algorithm utilizinggenetic algorithm for optimization of the key parameters.
  • 关键词:Robustness; Fidelity; Joint Watermarking; Embedding algorithm; Genetic algorithm
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