Copy Move Forgery Detection in Digital Images and Their Analysis: -A Review

Abstract

Due to the availability of low-cost, high-resolution digital cameras in recent years, there is a sufficient supply of digital photographs all over the world. In specific realms such as the insurance plan operation, forensic lab work, surveillance systems, intelligence offerings, clinical imaging, and journalism, digital images are an indispensable presence. The most wished-for condition is that the photographs we see are genuine. With the advent of powerful photo editing tools such as Adobe Photoshop, the ability to manipulate a synthetic image has never been greater. Copy-move forgery is a form of digital fraud that occurs frequently. Block-based methods and key factor-based methods are the two most popular methods for detecting copy-move fraud. In this article, I've looked at an outstanding copy-move forgery detection approach and its advantages over other detection techniques.