Prnu Pattern Alignment for Images and Videos Based on Scene Content

Prnu Pattern Alignment for Images and Videos Based on Scene Content

This paper proposes a novel approach for registering the PRNU pattern between different camera acquisition modes by relying on the imaged scene content. First, images are aligned by establishing correspondences between local descriptors: The result can then optionally be refined by maximizing the PR...

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Bibliographic Details
Published in:2019 IEEE International Conference on Image Processing (ICIP) pp. 91 - 95
Main Authors: Bellavia, F., Iuliani, M., Fanfani, M., Colombo, C., Piva, A.
Format: Conference Proceeding
Language:English
Published: IEEE 01-09-2019
Subjects:
Cameras
Correlation
image registration
Image resolution
Particle swarm optimization
PRNU
Reliability
Sensors
SIFT matching
video stabilization
Videos
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Description
Summary:This paper proposes a novel approach for registering the PRNU pattern between different camera acquisition modes by relying on the imaged scene content. First, images are aligned by establishing correspondences between local descriptors: The result can then optionally be refined by maximizing the PRNU correlation. Comparative evaluations show that this approach outperforms those based on brute-force and particle swarm optimization in terms of reliability, accuracy and speed. The proposed scene-based approach for PRNU pattern alignment is suitable for video source identification in multimedia forensics applications.
ISSN:2381-8549
DOI:10.1109/ICIP.2019.8802990