Adaptive photo-response non-uniformity noise removal against image source attribution
Date
2015-03
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
Abstract
The main objective of image source anonymization is to protect the identity of the photographer against any attempts to identify the source camera device through PRNU noise analysis. One way of impeding image source attribution is to suppress the PRNU noise as much as possible. In this paper, we introduce an improvement on the existing adaptive photo-response non-uniformity (PRNU) denoising method against source camera identification. We evaluate the performance of the proposed method with substantial experimental analysis. We also provide anonymization benchmarks with other source anonymization techniques. The benchmarks' results show that the proposed method outperforms the adaptive PRNU denoising methods for various cameras including compact and smartphone in terms of speed and image quality. The experimental analysis also shows that it is possible to impede source camera identification by PRNU noise suppression even under extreme attack conditions.
Description
Keywords
Anonymization, Counter forensics, Privacy, PRNU, Sensor noise, Source camera attribution, Digital camera identification, Sensor, Origin, Computer science, Benchmarking, Cameras, Data privacy, Anonymization, Counter-Forensics, PRNU, Sensor noise, Source camera attribution, Image denoising
Citation
Karaküçük, A. ve Dirik A. E. (2015). "Adaptive photo-response non-uniformity noise removal against image source attribution". Digital Investigation, 12, 66-76.