Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts

Year: 2012

Authors: Ferrara P., Bianchi T., De Rosa A., Piva A.

Autors Affiliation: Natl Inst Opt INO, I-50125 Florence, Italy; Univ Florence, CNIT Res Unit, I-50139 Florence, Italy; Univ Florence, Dept Elect & Telecommun, I-50139 Florence, Italy.

Abstract: In this paper, a forensic tool able to discriminate between original and forged regions in an image captured by a digital camera is presented. We make the assumption that the image is acquired using a Color Filter Array, and that tampering removes the artifacts due to the demosaicking algorithm. The proposed method is based on a new feature measuring the presence of demosaicking artifacts at a local level, and on a new statistical model allowing to derive the tampering probability of each 2 x 2 image block without requiring to know a priori the position of the forged region. Experimental results on different cameras equipped with different demosaicking algorithms demonstrate both the validity of the theoretical model and the effectiveness of our scheme.

Journal/Review: IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY

Volume: 7 (5)      Pages from: 1566  to: 1577

More Information: This work was supported in part by the REWIND Project funded by the Future and Emerging Technologies (FET) programme within the 7FP of the European Commission, under FET-Open Grant 268478. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. C.-C. Jay Kuo.
KeyWords: CFA artifacts; digital camera demosaicking; forgery localization; image forensics; tampering probability map
DOI: 10.1109/TIFS.2012.2202227

Citations: 301
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