Digital Image Tamper Detection Techniques - A Comprehensive Study

TL;DR

This paper reviews the history and current state of digital image tamper detection techniques, emphasizing the importance of verifying image authenticity amidst widespread digital manipulation tools.

Contribution

It provides a comprehensive overview of image tampering history and surveys modern detection methods, highlighting the need for reliable authenticity verification.

Findings

Digital images are easily tampered with using accessible software.

Tampering undermines the credibility of digital photographs as evidence.

The paper summarizes various techniques for detecting image manipulation.

Abstract

Photographs are considered to be the most powerful and trustworthy media of expression. For a long time, those were accepted as proves of evidences in varied fields such as journalism, forensic investigations, military intelligence, scientific research and publications, crime detection and legal proceedings, investigation of insurance claims, medical imaging etc. Today, digital images have completely replaced the conventional photographs from every sphere of life but unfortunately, they seldom enjoy the credibility of their conventional counterparts, thanks to the rapid advancements in the field of digital image processing. The increasing availability of low cost and sometimes free of cost image editing software such as Photoshop, Corel Paint Shop, Photoscape, PhotoPlus, GIMP and Pixelmator have made the tampering of digital images even more easier and a common practice. Now it has become quite impossible to say whether a photograph is a genuine camera output or a manipulated version of it just by looking at it. As a result, photographs have almost lost their reliability and place as proves of evidences in all fields. This is why digital image tamper detection has emerged as an important research area to establish the authenticity of digital photographs by separating the tampered lots from the original ones. This paper gives a brief history of image tampering and a state-of-the-art review of the tamper detection techniques.