A Novel Region Duplication Detection Algorithm Based on Hybrid Approach

TL;DR

This paper reviews various image tampering detection techniques, introduces a new hybrid algorithm for region duplication detection, and compares its effectiveness to existing methods in digital forensics.

Contribution

The paper proposes a novel hybrid approach for region duplication detection that aims to improve tampering detection accuracy over existing algorithms.

Findings

The hybrid algorithm effectively detects duplicated regions in tampered images.

Comparison shows improved accuracy over traditional methods.

Provides insights into the strengths and limitations of current detection techniques.

Abstract

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.