Digital image forgery detection using passive techniques: A survey

By Gajanan K. Birajdar, Vijay Harishchandra Mankar. Digital Investigation. The International Journal of Digital Forensics and Incident Response, 2013

427 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Law

View Paper: https://www.semanticscholar.org/paper/6f9be47ae591b37a20a940883359b113ec5f3609

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Premkumar Natarajan
2. Yue Wu
3. Wael Abd-Almageed
4. Amit K. Roy-Chowdhury
5. S. Chandrasekaran
6. Lakshmanan Nataraj
7. Tajuddin Manhar Mohammed
8. Arjuna Flenner

In Law

1. Wael Abd-Almageed
2. Amit K. Roy-Chowdhury
3. S. Chandrasekaran
4. Premkumar Natarajan
5. Lakshmanan Nataraj
6. Yue Wu
7. Tajuddin Manhar Mohammed
8. Arjuna Flenner

Citations in the corpus

• BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization (2018, methodology): “For a detailed comparison of existing methods, the reader is referred to [3,5,30,32].”
• Detecting GAN generated Fake Images using Co-occurrence Matrices (2019, methodology): “Several methods have been proposed in the area of image forensics over the past years [25, 26, 27, 28, 29].”