Forensic Analysis of Digital Image Tampering

Abstract

The use of digital photography has increased over the past few years, a trend which opens the door for new and creative ways to forge images. The manipulation of images through forgery influences the perception an observer has of the depicted scene, potentially resulting in ill consequences if created with malicious intentions. This poses a need to verify the authenticity of images originating from unknown sources in absence of any prior digital watermarking or authentication technique. This research explores the holes left by existing research; specifically, the ability to detect image forgeries created using multiple image sources and specialized methods tailored to the popular JPEG image format. In an effort to meet these goals, this thesis presents four methods to detect image tampering based on fundamental image attributes common to any forgery. These include discrepancies in 1) lighting and 2) brightness levels, 3) underlying edge inconsistencies, and 4) anomalies in JPEG compression blocks. Overall, these methods proved encouraging in detecting image forgeries with an observed accuracy of 60% in a completely blind experiment containing a mixture of 15 authentic and forged images.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2004
Accession Number
ADA430512

Entities

People

  • Jonathan R. Sturak

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Algorithms
  • Authentication
  • Cameras
  • Change Detection
  • Computer Programs
  • Computers
  • Detection
  • Detectors
  • Digital Images
  • Experimental Design
  • Image Processing
  • Light Sources
  • Photographs
  • Photography
  • Reliability

Readers

  • Computer Vision.
  • Cybersecurity.
  • Educational Psychology