A new article is available in IPOL: http://www.ipol.im/pub/art/2021/355/
Quentin Bammey, Rafael Grompone von Gioi, and Jean-Michel Morel,
Image Forgeries Detection through Mosaic Analysis: the Intermediate
Values Algorithm,
Image Processing On Line, 11 (2021), pp. 317–343.
https://doi.org/10.5201/ipol.2021.355
Abstract
Cameras sample each image pixel in one color channel only. The remaining
channels are interpolated from neighboring pixels during demosaicing.
This operation leaves traces, that can be exploited to authentify images
and detect forgeries. This paper describes the method introduced by Choi
et al. that exploits the fact that interpolated pixels are more prone to
be intermediate values, to detect in which pattern an image has been
sampled. We then use this information to find regions that are
inconsistent with the global image. We attribute a confidence score to
each detection, which can then be thresholded to provide a binary map of
detected forgeries.
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