Recent Trends in Copy Move Forgery Detection
Malti Puri1, Vinay Chopra2
1Malti Puri, Scholar, Department of Computer Science & Engineering, DAV Institute of Engineering. & Technology, Jalandhar (Punjab), India.
2Dr. Vinay Chopra, Assistant Professor, Department of Computer Science & Engineering, DAV Institute of Engineering. & Technology, Jalandhar (Punjab), India.
Manuscript received on January 09, 2019. | Revised Manuscript received on January 25, 2019. | Manuscript published on January 30, 2019. | PP:11-20 | Volume-5 Issue-12, January 2019. | Retrieval Number: L12910151219
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In today’s era due to rapid growth in image capturing and image editing tools it has become very easy to manipulate any image. Whereas detecting whether image has undergone some changes or not has become very difficult. Any manipulation in an image is termed as digital image forgery. There are various kind of digital image forgeries among which most common is Copy-move forgery. The detection of copy-move forgery has become topic of interest of many researchers. Various researches has been done since 2007. In this paper we have discussed some recent techniques to detect copy move forgery in a digital image.
Keywords: CMFD; Copy-Move forgery detection; Cloning; Tampering; Digital image forgery.