Picture 1 of 1
Picture 1 of 1
Forensic Analysis of Digital Image Tampering by Jonathan R. Sturak (2025, Trade Paperback)
Rarewaves (688707)
98.8% positive feedback
Price:
US $24.68
ApproximatelyRM 103.66
+ $3.99 shipping
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Condition:
Oops! Looks like we're having trouble connecting to our server.
Refresh your browser window to try again.
About this product
Product Identifiers
PublisherCreative Media Partners
ISBN-101025139763
ISBN-139781025139760
eBay Product ID (ePID)25085468610
Product Key Features
TypeTextbook
SubjectDigital Media / Photography (See Also Photography / Techniques / Digital), Forensic Science
LanguageEnglish
Publication Year2025
AuthorJonathan R. Sturak
Publication NameForensic Analysis of Digital Image Tampering
Number of Pages140 Pages
Subject AreaLaw, Computers
FormatTrade Paperback
Dimensions
Item Weight7.2 Oz
Item Length9.2 in
Item Width6.1 in
Item Height0.3 in
Additional Product Features
Intended AudienceTrade
SynopsisThe 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. This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Be the first to write a review
