Image Forgery Analyse and Detection

International Journal of Computer Science and Engineering

© 2021 by SSRG - IJCSE Journal

Volume 8 Issue 8

Year of Publication : 2021

Authors : Alhussain Akoum, Samia Bahlak, Nagham Abou Daher

10.14445/23488387/IJCSE-V8I8P102

How to Cite?

Alhussain Akoum, Samia Bahlak, Nagham Abou Daher, "Image Forgery Analyse and Detection," SSRG International Journal of Computer Science and Engineering , vol. 8,  no. 8, pp. 8-12, 2021. Crossref, https://doi.org/10.14445/23488387/IJCSE-V8I8P102

Abstract:

The popularity of digital photography has risen in recent years, paving the opportunity for new and inventive ways to create photos. Several software programs are now available that may be used to edit images such that they like the original. In the case of any crime, images are used as authenticated proof, and if they do not remain real, it will pose a problem. In recent years, detecting these types of forgeries has become a big difficulty. It's difficult to tell whether a digital image is real or doctored. Finding tampering marks in a digital image is a difficult undertaking. A copy-move image forgery is used to hide an image object or to add more details to the image, resulting in forgery. In both circumstances, image reliability is jeopardized. Although this technology has numerous benefits; it can also be used as a deceptive technique to hide facts and evidences. In this article, we looked at many types of picture forgery and detection strategies; we concentrated mostly on copy move forgery and its detection technique.

Keywords:

Image forgery, Copy move, Detection Technique, Digital image, Tempering marks

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