Copy-move forgery detection: Survey, challenges and future directions
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- 作者：Nor Bakiah Abd Warifa ; nurbaqiyah@siswa.um.edu.my" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Ainuddin Wahid Abdul Wahaba ; ainuddin@um.edu.my" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Mohd Yamani Idna Idrisa ; yamani@um.edu.my" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Roziana Ramlia ; roziana.ramli@gmail.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Rosli Salleha ; rosli_salleh@um.edu.my" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Shahaboddin Shamshirbanda ; shamshirband@um.edu.my" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Kim-Kwang Raymond Choob ; c ; raymond.choo@fulbrightmail.org" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Copy-move forgery ; Image forgery ; Blind detection ; Copied region ; Image forensics
- 刊名：Journal of Network and Computer Applications
- 出版年：2016
- 出版时间：November 2016
- 年：2016
- 卷：75
- 期：Complete
- 页码：259-278
- 全文大小：8770 K
文摘
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Copy-move forgery detection.
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Authenticity and reliability of digital images.
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Survey of copy-move forgery detection techniques.
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Feature extraction and matching process.
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Data inconsistencies and high scalability.