Image forgery detection: comprehensive review of digital forensics approaches

Image is a powerful way to share information in the digital world. The sources of images are everywhere, magazines, newspapers, healthcare, entertainment, education, social media and electronic media. With the advancement of image editing software and cheap camera-enabled mobile devices, image manip...

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Vydáno v:Journal of computational social science Ročník 7; číslo 1; s. 877 - 915
Hlavní autoři: Singh, Satyendra, Kumar, Rajesh
Médium: Journal Article
Jazyk:angličtina
Vydáno: Singapore Springer Nature Singapore 01.04.2024
Témata:
Big Data/Analytics
Complex Systems
Computational Linguistics
Simulation and Modeling
Social Media
Social Sciences
Survey Article
Digital image forensics
Fake image
Retouching
Copy-move
Splicing
ISSN:2432-2717, 2432-2725
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Popis
Shrnutí:Image is a powerful way to share information in the digital world. The sources of images are everywhere, magazines, newspapers, healthcare, entertainment, education, social media and electronic media. With the advancement of image editing software and cheap camera-enabled mobile devices, image manipulation is very easy without any prior knowledge or expertise. So, image authenticity has questioned. Some people use the forged image for fun, but some people may have bad intentions. The manipulated image may use by political parties to spread their false propaganda. Fake images use by people to spread rumours and stoking someone. In addition to harming individuals, fake images can damage the credibility of media outlets and undermine the public trust in them. The need for reliable and efficient image forgery detection methods to combat misinformation, propaganda, hoaxes, and other malicious uses of manipulated images. These are some known issues on digital images. The researcher, scientist, and image forensic experts are working on the development of fake image detection and identification tools. Presently digital image forgery detection is a trending field of research. The main aim of this paper is to provide the exhaustive review on digital image forgery detection tools and techniques. It also discusses various machine learning techniques, such as supervised, unsupervised, and deep learning approaches, that can be employed for image forgery detection it demonstrate the challenges of the current state of the work.
ISSN:2432-2717
2432-2725
DOI:10.1007/s42001-024-00265-8