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Survey on image copy-move forgery detection

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Abstract

In this digital era, a huge amount of images are flooding the internet, which is extensively used for digital communications, and are also regarded as a significant source of information in many fields. However, the images can be easily altered without leaving any traces due to the availability of digital image editing softwares. Hence, it becomes essential to validate the integrity of the images. One of the most serious and popular tampering procedures is Copy Move Forgery (CMF), wherein some portion of an image is copied and pasted to another region in the same image. This paper reviews recent state-of-the-art copy-move forgery detection (CMFD) schemes along with their pros, and cons with the help of tables for better readability. In addition, this paper enlists the performance evaluation criteria and different image datasets used for CMFD, along with their merits and demerits. At last, this review addresses the various issues, challenges, and future directions in the field of CMFD. This survey paper aims to provide researchers with a broad perspective on the various aspects of advancements in CMFD techniques.

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This work was supported by Faculty Initiation Grant of PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur, India

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    Mayank Verma & Durgesh Singh

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Verma, M., Singh, D. Survey on image copy-move forgery detection. Multimed Tools Appl 83, 23761–23797 (2024). https://doi.org/10.1007/s11042-023-16455-x

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