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Publications
Identification of Cut & Paste Tampering by Means of Double-JPEG Detection and Image Segmentation
This paper co-written by M. Barni, A. Costanzo and L. Sabatini has been presented at IEEE International Symposium on Circuits and Systems on May 30th-June 2nd 2010 in Paris, France. This article proposes two approaches to the detection of photomontages obtained by means of cut & paste operation. The proposed methods rely on the presence in the tampered areas of artifacts typical of double JPEG compressed images with de-synchronized DCT grids.
This paper focuses on images whose content has been modified by means of a cut & paste operation. By relying on an existing scheme for the detection of double JPEG compressed images with desynchronized grids, we propose two algorithms for the detection of image regions that have been transplanted from another image. The proposed methods work whenever the pasted region is extracted from a JPEG compressed image and inserted in a target image that is subsequently compressed with a quality factor larger than that used to compress the source image. The new methods are intended as a complement to previous works relying on the detection of artifacts introduced by double JPEG compression with aligned compression grids. The experiments we carried out show the good performance of the novel schemes, the second one providing better results at a lower complexity thanks to the incorporation within the detection process of some information regarding the actual image content.
