Resampling Detection for Digital Image Forensics
نویسندگان
چکیده
A virtually unavoidable consequence of manipulations on digital images are statistical correlations introduced between the pixels. These correlations may not be visible to a human, but can be detected by statistical techniques. This paper presents a machine learning based approach to image resampling detection based on the detector by Popescu and Farid. We investigate ways to improve robustness and detection accuracy by using supervised learning techniques.
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