The Adobe Hidden Feature and its Impact on Sensor Attribution

Butora, Jan; Bas, Patrick

Type de document :

Communication dans un congrès avec actes

Titre :

The Adobe Hidden Feature and its Impact on Sensor Attribution

Auteur(s) :

Butora, Jan [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Bas, Patrick [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]

Titre de la manifestation scientifique :

12th ACM Workshop on Information Hiding and Multimedia Security

Ville :

Baiona

Pays :

Espagne

Date de début de la manifestation scientifique :

2024-06-24

Mot(s)-clé(s) en anglais :

PRNU
False-Positive
Watermarking
Watermark Removal

Discipline(s) HAL :

Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]

Résumé en anglais : [en]

If the extraction of sensor fingerprints represents nowadays an important forensic tool for sensor attribution, it has been shown recently in [2,3,13] that images coming from several sensors were more prone to generate ...
Lire la suite >If the extraction of sensor fingerprints represents nowadays an important forensic tool for sensor attribution, it has been shown recently in [2,3,13] that images coming from several sensors were more prone to generate False Positives (FP) by presenting a common ”leak”. In this paper, we investigate the possible cause of this leak and after inspecting the EXIF metadata of the sources causing FP, we found out that they were related to the Adobe Lightroom or Photoshop softwares. The cross-correlation between residuals on images presenting FP reveals periodic peaks showing the presence of a periodic pattern. By developing our own images with Adobe Lightroom we are able to show that all developments from raw images (or 16 bits per channel coded) to 8 bits-coded images also embed a periodic 128×128 pattern very similar to a watermark. However, we also show that the watermark depends on both the content and the architecture used to develop the image. The rest of the paper presents two different ways of removing this watermark, one by removing it from the image noise component, and the other by removing it in the pixel domain. We show that for a camera presenting FP in [13], we were able to prevent the False Positives. A discussion with Adobe representatives informed us that the company decided to add this pattern in order to induce dithering.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

Fichiers

document
Accès libre
Accéder au document

paper.pdf
Accès libre
Accéder au document

The Adobe Hidden Feature and its Impact ... BibTeX CSV Excel RIS

Fichiers

The Adobe Hidden Feature and its Impact ...

BibTeX

CSV

Excel

RIS