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Phylogeny of JPEG images by ancestor estimation using missing markers on image pairs

Noe Le Philippe 1 William Puech 1 Christophe Fiorio 1
1 ICAR - Image & Interaction
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : Nowadays it is extremely easy to tamper with images and share them thanks to social media. Identifying the transformation history is imperative to be able to trust these images. We address this problem by using image phylogeny trees, where the root is the image that has been less tampered with and as every generation is obtained from the transformation of its parents, the leaves are the most transformed images. Our method for image phylogeny trees reconstruction is based on a binary decision between two images using JPEG compression artifacts. Experimental results show that when there is no missing image data, the reconstruction is very accurate.
Keywords : Image phylogeny JPEG compression Social networks Image phylogeny tree
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Conference papers
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01883738
Contributor : Christophe Fiorio <>
Submitted on : Friday, September 28, 2018 - 3:45:10 PM
Last modification on : Thursday, November 8, 2018 - 8:40:59 PM

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LIRMM | CNRS | ICARLIRMM | MIPS | UNIV-MONTPELLIER

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Noe Le Philippe, William Puech, Christophe Fiorio. Phylogeny of JPEG images by ancestor estimation using missing markers on image pairs. IPTA: Image Processing Theory, Tools and Applications, Dec 2016, Oulu, Finland. ⟨10.1109/IPTA.2016.7820992⟩. ⟨lirmm-01883738⟩

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