[IPOL announce] new article: Image Forgeries Detection through Mosaic Analysis: the Intermediate Values Algorithm

[announcements about the IPOL journal]

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.