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Content Provider | IET Digital Library |
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Author | Soni, Badal Das, Pradip K. Thounaojam, Dalton Meitei |
Abstract | With the advancement of image editing tools in today's world, the manipulation of images like cropping, cloning, resizing, etc., becomes an easy proposition and on the other end, checking or determining whether an image has been manipulated or not, becomes a great challenge. Copy-move forgery in images is the most popular tampering method in which a portion of an image is copied and pasted in some other location of the same image. The detection of copy-move forgery has become a prominent research area. This study presents a detailed review and critical discussions with pros and cons of each of copy-move forgery detection techniques from 2007 to 2017. This study also addresses the variation in databases, issues, challenges, future directions and references in this domain. |
Starting Page | 167 |
Ending Page | 178 |
Page Count | 12 |
ISSN | 17519659 |
Volume Number | 12 |
e-ISSN | 17519667 |
Issue Number | Issue 2, Feb (2018) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/2 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0441 |
Journal | IET Image Processing |
Publisher Date | 2017-10-30 |
Access Restriction | Open |
Rights Holder | © The Institution of Engineering and Technology |
Subject Keyword | Block Based Technique CMFD Computer Vision And Image Processing Technique Image Cloning Image Copy-move Forgery Detection Technique Image Cropping Image Editing Tool Image Forensics Image Manipulation Image Resizing Key Feature Based Technique Optical, Image And Video Signal Processing Tampering Method |
Content Type | Text |
Resource Type | Article |
Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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