A Comprehensive Survey on Passive Techniques for Digital Image Forgery Detection | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Volume 33, Issue 2, July 2024, Page 9-21 PDF (630.6 K) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2024.249867.1086 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Mohamed Abdelhamed   1; El-Sayed El-Rabie2; Amira Baumy3
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| 1Alazizia, | ||||
| 2Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, 32952, Menouf, Egypt. | ||||
| 3Department of Communications, High Institute for Engineering and Technology, AL-Obour, Obour City, Egypt | ||||
| Abstract | ||||
| Abstract—One of the most common types of multimedia in daily life is digital photographs. Digital picture editing has been made easier with the availability of sophisticated yet user-friendly editing tools. As a result, it is now crucial to consider the legitimacy of these digital photos. Techniques for detecting digital picture forgeries seek to determine the image's changes and verify its legitimacy. There are two categories of these techniques: active and passive. The paper presents the different types of image forgeries and its detection techniques. Also, we present a survey on passive strategies for image fraud detection. To elucidate the issue of digital image forging and provide clarity on the suggested approaches for detecting forged images, four study points have been presented. Along with discussing numerous issues that require attention, the survey offers suggestions for potential future study avenues. Keywords— Image Tampering, Forgery Detection, Copy-move Detection, Splicing Detection, deep learning. - | ||||
| Keywords | ||||
| Image Tampering; Forgery Detection; Copy-move Detection; Splicing Detection; deep learning | ||||
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