In this work, a novel Anti-Forensic Contrast Enhancement Detector (AFCED) scheme has been proposed to assess contrast changes from anti-forensic digital images.
Sep 1, 2022 · Digital image forensics concerns with detecting traces of these operations subjected upon the image. In this work, a novel Anti-Forensic ...
In this paper, we analyze one of the most common forms of photographic manipulation, known as image composition or splicing. We propose a forgery detection ...
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Aug 9, 2022 · I'm delighted to share our recent research on digital photo attacks and anti-forgery strategies. Herein, we investigated the statistical ...
Oct 11, 2022 · Exposing digital image forgeries by illumination color classification. IEEE. Transactions on Information Forensics and Security, 8(7):1182 ...
Oct 1, 2022 · This study aims to comprehensively analyze image forgery detection methods using conventional and advanced deep learning approaches.
We describe three such techniques for detecting traces of tampering in scientific images. Specifically, im- age segmentation techniques are employed to detect ...
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Exposing digital forgeries in scientific images. In ACM. Multimedia and Security Workshop, pages 29–36, 2006. [128] Hany Farid. Digital image ballistics from ...
[PDF] Exposing Digital Forgeries by Detecting Traces of Re-sampling
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Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. For example ...
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Oct 3, 2022 · In this paper, we conduct a survey of some of the most recent image forgery detection methods that are specifically designed upon Deep Learning (DL) techniques.