Abstract: This paper focuses on lateral chromatic aberration, a device-dependent characteristic caused by the inability of the lens to focus all corresponding wavelengths of the light on the same point of the sensor. Generally, the analysis of lateral chromatic aberration in digital images using the state-of-the-art method suffers from two different problems: First, the computational costs for estimating lateral chromatic aberration in an image by an iterative brute-force search algorithm is high and, second, little is known about real world lateral chromatic aberrations in digital consumer cameras as well as in large-scale scenarios like forensic investigations. To tackle both problems, we present a new approach to estimate lateral chromatic aberration with low computational complexity and, for the first time, provide results on using lateral chromatic aberration in real-world scenarios based on the `Dresden' image database.

  url          = {http://link.aip.org/link/?PSISDG/7541/754107/1},
  booktitle    = {SPIE Conference on Media Forensics and Security},
  author       = {Thomas Gloe and Antje Winkler and Karsten Borowka},
  location     = {San Jose, CA},
  year         = {2010},
  title        = {Efficient estimation and large-scale evaluation of lateral chromatic aberration for digital image forensics},