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Image Authentication by Detecting Traces of Demosaicing


Image Authentication by Detect
Abstract


With increasing technical advances, computer graphics are becoming more photorealistic. Therefore, it is important to develop methods for distinguishing between actual pho -tographs from digital cameras and computer generated im-ages. We describe a novel approach to this problem. Rather than focusing on the statistical differences between the im-age textures, we recognize that images from digital cameras contain traces of resampling as a result of using a color fil-G 1,1 R 1,2 G 1,3 R 1,4 G 1,5 R 1,6 B 2,1 G 2,2 B 2,3 G 2,4 B 2,5 G 2,6 G 3,1 R 3,2 G 3,3 R 3,4 G 3,5 R 3,6 B 4,1 G 4,2 B 4,3 G 4,4 B 4,5 G 4,6 G 5,1 R 5,2 G 5,3 R 5,4 G 5,5 R 5,6 B 6,1 G 6,2 B 6,3 G 6,4 B 6,5 G 6,6 1000 800 Energy 600 400 200 00 0.2 0.4 0.6 0.8 1 Normalized Frequency ter array with demosaicing algorithms. We recognize that estimation of the actual demosaicing parameters is not nec-essary; rather, detection of the presence of demosaicing is the key. The in-camera processing (rather than the image content) distinguishes the digital camera photographs from computer graphics. Our results show high reliability on a standard test set of JPEG compressed images from con-sumer digital cameras. Further, we show the application of these ideas for accurately localizing forged regions within digital camera images.

KeyWords
Image Sensors,Demosaicing,PIM ,PRCG,forged image regions



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