Abstract

AbstractAdvent of digital cameras and photo editing software allows digital images easily manipulated and altered. Although accurate forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. As previous research works, we analyzed digital camera image processing schemes, and identified what kind of imaging device characteristics can be unique and how to identify them. To exploit the imaging device characteristics, we perform Wiener filter to extract the unique feature of imaging device. After we identified the device characteristics, we perform EM based forensic scheme for the domain. We design an overlapped Wiener filter based forgery detection scheme for each image blocks to test evidence of forgery in a specific image. Our experimental results show that our forgery detection performance achieved more robustness on JPEG compression (quality factor set to 98).KeywordsDigital image forensicsImage noiseWiener filterEM algorithm

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