Paper Contents
Abstract
Digital image manipulation has become a major concern today, with increasing challenges surrounding its authenticity and integrity. Image forgery is a common practice that aims to manipulate images in such a way that they becomeindistinguishable from the original image, appearing genuine. The use of digital images has grown significantly in crime investigations, law evidence, and surveillance, making it necessary to ensure their trustworthiness. Digital image forensics (DIF) has become a crucial area of expertise as forensic experts also use digital images in their investigations. DIF focuses on verifying the authenticity and integrity of digital files. This paper presents a literature review of DIF, covering active and passive methods, as well as those based on deep learning. It provides an updated set of references synthesized in textual, tabular, and graphic form.
Copyright
Copyright © 2024 Sarvesh V. This is an open access article distributed under the Creative Commons Attribution License.
