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Image Forgery Detection: A Review

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Inventive Computation and Information Technologies

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 563))

Abstract

Images can now be easily modified due to advances in digital image processing. Image forgery is the process of manipulating or changing a digital image in order to conceal vital information. Nowadays, as technology advances and the performance of low-cost computers improves, forgery in images has rapidly increased. Fraudulent images are quite impossible to recognize and detect through human eyes. The process of modifying fake images has been made extremely easy with powerful editing tools that are available for free. The software used works so well that it’s tough to tell the difference between legitimate and faked photos. Because digital photographs and images are used in so many locations, detecting digital image counterfeiting is critical as it can be a misuse of technology and image authenticity is essential in various social platforms. There are several forgery techniques developed to find the authenticity of images. This paper will benefit researchers in comprehending current algorithms and strategies in this sector, with the goal of eventually developing new and more efficient detection algorithms.

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Correspondence to Elizabeth Mathew .

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Vijayakumar, P., Mathew, E., Gayathry Devi, M., Monisha, P.T., Anjali, C., John, J. (2023). Image Forgery Detection: A Review. In: Smys, S., Kamel, K.A., Palanisamy, R. (eds) Inventive Computation and Information Technologies. Lecture Notes in Networks and Systems, vol 563. Springer, Singapore. https://doi.org/10.1007/978-981-19-7402-1_54

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  • DOI: https://doi.org/10.1007/978-981-19-7402-1_54

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-7401-4

  • Online ISBN: 978-981-19-7402-1

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