Digital Image Forgery Detection
S. Prayla Shyry1, Saranya Meka2, Mahitha Moganti3
1S. Prayla Shyry, Department of CSE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
2Saranya Meka, Department of CSE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Mahitha Moganthi, Department of CSE, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 20 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 658-661 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11210782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1121.0782S319
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© The Authors. 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: With the growing challenges in authenticity and integrity of images, image manipulation has crumbled assurance over digital image. The major motivation of the forgery in image is manipulating the image in such a way that it cannot be distinguished to the naked eye. Image manipulation has increased the demand to assess the trustworthiness of digital images when used in crime investigation, as witness of law and for surveillance purposes. In this paper, various types of image forgery and detection techniques have been explained. Initially different kinds of forgery attacks are categorized and summary of passive approach is discussed.
Keywords: Digital Image; Forgery; Forgery Detection; Copy Move Forgery; Tampering.
Scope of the Article: Digital System and Logic Design