1 October 2006 Image manipulation detection
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Abstract
Techniques and methodologies for validating the authenticity of digital images and testing for the presence of doctoring and manipulation operations on them has recently attracted attention. We review three categories of forensic features and discuss the design of classifiers between doctored and original images. The performance of classifiers with respect to selected controlled manipulations as well as to uncontrolled manipulations is analyzed. The tools for image manipulation detection are treated under feature fusion and decision fusion scenarios.
© (2006) Society of Photo-Optical Instrumentation Engineers (SPIE)
Sevinc Bayram, Ismail Avcibas, Bülent Sankur, Nasir D. Memon, "Image manipulation detection," Journal of Electronic Imaging 15(4), 041102 (1 October 2006). https://doi.org/10.1117/1.2401138 . Submission:
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