File(s) under permanent embargo
Exposing image forgery through the detection of contrast enhancement
conference contribution
posted on 2013-01-01, 00:00 authored by Xufeng Lin, Chang-Tsun LiChang-Tsun Li, Y HuIn this paper, a novel forensic method of exposing cut-and-paste image forgery through detecting contrast enhancement is proposed. We reveal the inter-channel correlation introduced by color image interpolation, and show how a linear or nonlinear contrast enhancement can disturb this natural inter-channel dependency. We then construct a metric to measure these correlations, which are useful in distinguishing the original and contrast enhanced images. The effectiveness of the proposed algorithm is experimentally validated on natural color images captured by commercial cameras. Finally, its robustness against some anti-forensic algorithms is also discussed.
History
Event
IEEE Signal Processing Society. Conference (2013 : Melbourne, Vic.)Series
IEEE Signal Processing Society ConferencePagination
4467 - 4471Publisher
Institute of Electrical and Electronics EngineersLocation
Melbourne, Vic.Place of publication
Piscataway, N.J.Publisher DOI
Start date
2013-09-15End date
2013-09-18ISBN-13
9781479923410Language
engPublication classification
E1.1 Full written paper - refereedCopyright notice
2013, IEEEEditor/Contributor(s)
[Unknown]Title of proceedings
ICIP 2013 : Proceedings of the 2013 IEEE International Conference on Image ProcessingUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC