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.
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