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  • 标题:An Effective Blind Detection Technique for Medical Images Forgery
  • 本地全文:下载
  • 作者:Sahab Dheyaa Mohammed ; Taha Mohammed Hasan ; Jumana Waleed
  • 期刊名称:Webology
  • 印刷版ISSN:1735-188X
  • 出版年度:2020
  • 卷号:17
  • 期号:2
  • 页码:862-873
  • DOI:10.14704/WEB/V17I2/WEB17072
  • 出版社:University of Tehran
  • 摘要:The progress in the technologies of communication has produced different methods of transferring and accessing medical images. The prevalent utilization of communication and information methods enables anyone to tamper the contents of the original images. Consequently, for protecting the privacy of the patients and for ensuring the accuracy of diagnostics, a technique for detecting medical images forgery is needed. In that respect, in this paper, an effective block based detection technique for medical images has been proposed. In this proposed technique the copy and move tampering in the medical images can be detected in the discrete wavelet transform (DWT) and the matching process of blocks can be speeded up by utilizing the automatic clustering. The experimental results explain that the proposed forgery detection technique of medical images is capable of successfully detecting copy and move tampering with low processing time and high accuracy.
  • 关键词:Medical Images; Blind Detection Technique; Copy and Move Tampering; Discrete Wavelet Transform (DWT);
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