Details

Autor(en) / Beteiligte

• Cozzolino, Davide
• Marra, Francesco
• Poggi, Giovanni
• Sansone, Carlo
• Verdoliva, Luisa
• Battiato, Sebastiano
• Stanco, Filippo
• Schettini, Raimondo
• Gallo, Giovanni

Titel

PRNU-Based Forgery Localization in a Blind Scenario

Ist Teil von

• Image Analysis and Processing - ICIAP 2017, p.569-579

Ort / Verlag

Cham: Springer International Publishing

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• The Photo Response Non-Uniformity (PRNU) noise can be regarded as a camera fingerprint and used, accordingly, for source identification, device attribution and forgery localization. To accomplish these tasks, the camera PRNU is typically assumed to be known in advance or reliably estimated. However, there is a growing interest for methods that can work in a real-word scenario, where these hypotheses do not hold anymore. In this paper we analyze a PRNU-based framework for forgery localization in a blind scenario. The framework comprises four main steps: PRNU-based blind image clustering, parameter estimation, device attribution, and forgery localization. Each of these steps impacts on the final outcome of the analysis. The aim of this paper is to assess the overall performance of the proposed framework and how it depends on the individual steps.