A Novel Region Duplication Detection Algorithm Based on Hybrid Approach
This work addresses the challenge of passive image tampering detection for digital forensics, but it appears incremental as it focuses on reviewing and comparing existing methods rather than introducing a new solution.
The paper reviews existing image tampering detection algorithms and identifies their limitations in detecting all types of tampering, aiming to find a more efficient algorithm through an example-based approach.
The digital images from various sources are ubiquitous due to easy availability of high bandwidth Internet. Digital images are easy to tamper with good or bad intentions. Non-availability of pre-embedded information in digital images makes the tampering detection process more difficult in case of digital forensics. Thus, passive image tampering is difficult to detect. There are various algorithms available for detecting image tampering. However, these algorithms have some drawbacks, due to which all types of tampering cannot be detected. In this paper researchers intend to present the types of image tampering and its detection techniques with example based approach. This paper also illustrates insights into the various existing algorithms and tries to find out efficient algorithm out of them.