Downloads
This section lists standalone resources (e.g., datasets) available for download. For supplementary materials and source code accompanying research papers, please refer to the publications section. For more recent and more complete tools, please check my github profile.
Additional resources (images, pre-trained models, etc.) for my neural imaging toolbox
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A dataset with 220 realistic forgeries created by hand in modern photo-editing software. The images cover various challenging tampering scenarios involving both object insertion and removal. The images are uncompressed 1920 x 1080 px RGB uint8 TIFFs cropped from full-frame native camera output (the original images were captured by four different cameras: Sony alpha57, Canon 60D, Nikon D7000, Nikon D90). The dataset also contains PRNU fingerprints of the cameras.
realistic-tampering-dataset.zip via google drive (1.7 GB)
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This dataset contains multi-scale tampering probability maps obtained by running a standard sliding-window PRNU detector (with central-pixel attribution) on a set of 136 tampered images. The images represent realistic forgeries, created by hand in modern photo-editing software. The data may be useful for development of decision fusion techniques.
data-tifs-2016-maps.zip via google drive (140 MB)
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Analysis of photo self-recovery capabilities using communication theoretic tools and a practical implementation based on rateless digital fountain codes. A reference implementation outperforms state-of-the-art techniques dominated by ad-hoc heuristics.
phd.dissertation.korus.pdf
phd-korus-self-embedding.zip
