Forensic Analysis of Digital Image Tampering

Jonathan R Sturak

ISBN 10: 1288409176 / ISBN 13: 9781288409174

Published by Creative Media Partners, LLC Dez 2012, 2012

About this Item

Neuware - 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.

Seller Inventory # 9781288409174

Bibliographic Details

• Title: Forensic Analysis of Digital Image Tampering
• Publisher: Creative Media Partners, LLC Dez 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 1288409176
• ISBN 13: 9781288409174
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 249W x 192H x 10D millimeters 249 millimeters width by 192 millimeters height by 10 millimeters depth
• Weight: 280 grams

About this title

Synopsis

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.