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Enhancing sensor pattern noise via filtering distortion removal

Version 2 2024-06-05, 03:27
Version 1 2019-03-14, 12:29
journal contribution
posted on 2024-06-05, 03:27 authored by X Lin, Chang-Tsun LiChang-Tsun Li
In this work, we propose a method to obtain higher quality sensor pattern noise (SPN) for identifying source cameras. We believe that some components of SPN have been severely contaminated by the errors introduced by denoising filters and the quality of SPN can be improved by abandoning those components. In our proposed method, some coefficients with higher denoising errors are abandoned in the wavelet representation of SPN and the remaining wavelet coefficients are further enhanced to suppress the scene details in the SPN. These two steps aim to provide better SPN with higher signal-to-noise ratio (SNR) and therefore improve the identification performance. The experimental results on 2,000 images captured by 10 cameras (each responsible for 200 images), show that our method achieves better receiver operating characteristic (ROC) performance when compared with some state-of-the-art methods.

History

Journal

IEEE signal processing letters

Volume

23

Pagination

381-385

Location

Piscataway, N.J.

ISSN

1070-9908

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Copyright notice

2016, IEEE

Issue

3

Publisher

Institute of Electrical and Electronics Engineers