International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
Digital image editing tools establishing the authenticity of multimedia content have become a challenging issue where creating digital image forgeries has become easier. Digital image forensics is an increasingly growing research field that deals with the detection of the cyber-crime and forgery by investigation of digital evidences. Thus, law enforcement and forensics experts require reliable and efficient means of detecting Image forgery. Copy move Image Forgery is one of the most common forgeries which is used to hide some important information, object or duplicate apart of the same image where some parts of the image is copied and pasted to another part in the same image. This type of forgery is more difficult than other ones because the copied part has the same characteristics as it belongs to the same image. This study presents a survey of various image forgery detection techniques.
How to cite this article:
Hesham Ahmed Alberry, Abdelfatah Hegazy and Gouda I. Salama. Copy-Move Image Forgery Detection Techniques: A Literature Survey.
DOI: https://doi.org/10.36478/ijscomp.2020.13.19
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2020.13.19