Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics

Thomas Gloe; Karsten Borowka; Antje Winkler

doi:10.1117/12.839034

27 January 2010 Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics

Thomas Gloe, Karsten Borowka, Antje Winkler

Author Affiliations +

Proceedings Volume 7541, Media Forensics and Security II; 754107 (2010) https://doi.org/10.1117/12.839034
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

The analysis of lateral chromatic aberration forms another ingredient for a well equipped toolbox of an image forensic investigator. Previous work proposed its application to forgery detection¹ and image source identification.² This paper takes a closer look on the current state-of-the-art method to analyse lateral chromatic aberration and presents a new approach to estimate lateral chromatic aberration in a runtime-efficient way. Employing a set of 11 different camera models including 43 devices, the characteristic of lateral chromatic aberration is investigated in a large-scale. The reported results point to general difficulties that have to be considered in real world investigations.

Citation Download Citation

Thomas Gloe, Karsten Borowka, and Antje Winkler "Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics", Proc. SPIE 7541, Media Forensics and Security II, 754107 (27 January 2010); https://doi.org/10.1117/12.839034

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available