A REVIEW ON IMAGE FORGERY DETECTION

As society grows more reliant on the internet, it also becomes more susceptible to dangerous dangers. These dangers are intensifying and changing all the time. The legitimacy of data sent via the internet is distorted by these dangers. Since all of us depend entirely or in part on this communicated data, its legitimacy must be maintained. The modification or change of a picture is known as image forgery. Since digital photos are utilized in court cases, picture forensics is a new discipline. The need to ensure the authenticity of digital images was heightened by picture forging. Due to the widespread use of editing software, photographs can be altered in ways that are invisible to the human sight. Techniques for detecting image forgeries are so crucial. This makes image forgeries, which are now a key source of worry, more severe and frequent. Consequently, a method that can effectively and precisely identify hidden forgeries in a picture is needed. In this research, we have provided a quick review of the literature on several methods that include current advances in deep learning and machine learning.