[IPOL discuss] [IPOL announce] new article: Automatic Detection of Internal Copy-Move Forgeries in Images

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2018/213/

Thibaud Ehret,
Automatic Detection of Internal Copy-Move Forgeries in Images,
Image Processing On Line, 8 (2018), pp. 167–191.
https://doi.org/10.5201/ipol.2018.213

Abstract
This article presents an implementation and discussion of the recently 
proposed 'Efficient Dense-Field Copy-Move Forgery Detection' by 
Cozzolino et al. This method is a forgery detection based on a dense 
field of descriptors chosen to be invariant by rotation. Zernike moments 
were suggested in the original article. An efficient matching of the 
descriptors is then performed using PatchMatch, which is extremely 
efficient to find duplicate regions. Regions matched by PatchMatch are 
processed to find the final detections. This allows a precise and 
accurate detection of copy-move forgeries inside a single suspicious 
image. We also extend successfully the method to the use of dense SIFT 
descriptors and show that they are better at detecting forgeries using 
Poisson editing.



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