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文章基本信息

  • 标题:A Survey Of Digital Image Tampering Techniques
  • 本地全文:下载
  • 作者:Nishtha Parashar ; Nirupama Tiwari
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2015
  • 卷号:8
  • 期号:10
  • 页码:91-96
  • DOI:10.14257/ijsip.2015.8.10.10
  • 出版社:SERSC
  • 摘要:Due to powerful computers and advanced photo-editing software tools the manipulation of images has become an easy task. Confirming the authenticity of images and detecting tampered regions in an image without any knowledge about the image content is an important part of the research field. An effort is made to survey the recent advancements being made in the field of digital image forgery detection and thus passive methods for forgery detection are being presented. Blind or passive methods do not require any explicit former information about the image. In the first part, various image forgery detection techniques are classified and then an overview of passive image authentication is presented and the existing blind forgery detection techniques are reviewed
  • 关键词:passive/blind forgery detection techniques; dyadic wavelet ; transform; image tampering; copy-move forgery
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