Performance Analysis of Various Copy-Move Forgery Detection Methods

Deependra Kumar Shukla*, Abhishek Bansal**, Pawan Singh***
* Department of Computer Science and Engineering, A. K. S. University, Satna, Madhya Pradesh, India.
** Department of Computer Science, Indira Gandhi National Tribal University, Amarkantak, Madhya Pradesh, India.
*** Department of Computer Science, Central University of Rajasthan, Ajmer, Rajasthan, India.
Periodicity:July - December'2022
DOI : https://doi.org/10.26634/jdp.10.2.19181

Abstract

Analyzing digital images to reveal modifications is called image forensics. Digital images are now becoming incredibly popular due to the availability of several inexpensive image-capturing gadgets. These images are frequently altered, either unintentionally or intentionally, which causes the image to convey false information. Since digital images are frequently utilized as evidence in court proceedings, media, and for preserving visual records, approaches to detecting forgeries in these images should be designed. This paper thoroughly analyzes several image forgery detection strategies, including comparisons of the strategies, advantages, disadvantages, and experimental findings.

Keywords

Digital Forensic, Copy-Move Detection, Forgery, Splicing, Retouching.

How to Cite this Article?

Shukla, D. K., Bansal, A., and Singh, P. (2022). Performance Analysis of Various Copy-Move Forgery Detection Methods. i-manager’s Journal on Digital Signal Processing, 10(2), 1-6. https://doi.org/10.26634/jdp.10.2.19181

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