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Publication details
Authors P.FerraraT.BianchiA.De RosaA.Piva
Title Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts
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 demosaicing algorithm. The proposed method is based on a new feature measuring the presence of demosaicing artifacts at a local level, and on a new statistical model allowing to derive the tampering probability of each $2 \times 2$ image block without requiring to know a priori the position of the forged region. Experimental results on different cameras equipped with different demosaicing algorithms demonstrate both the validity of the theoretical model and the effectiveness of our scheme.
Publication IEEE Transactions on Information Forensics & Security
Typology International Journal Papers
Date Oct. 2012 (published online June 2012)
Other info vol. 7, no. 5, pp. 1566-1577, 
 
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