Li, Ruizhe, Guan, Yu and Li, Chang-Tsun (2014) PCA-based denoising of sensor pattern noise for source camera identification. In: 2014 IEEE China Summit & International Conference on Signal and Information Processing, Xi'an, China, 9-13 Jul 2014. Published in: 2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP) pp. 436-440. doi:10.1109/ChinaSIP.2014.6889280

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Abstract

Sensor Pattern Noise (SPN) has been proved to be an inherent fingerprint of the imaging device for source identification. However, SPN extracted from digital images can be severely contaminated by scene details. Moreover, SPN with high dimensionality may cause excessive time cost on calculating correlation between SPNs, which will limit its applicability to the source camera identification or image classification with a large dataset. In this work, an effective scheme based on principal component analysis (PCA) is proposed to address these two problems. By transforming SPN into eigenspace spanned by the principal components, the scene details and trivial information can be significantly suppressed. In addition, due to the dimensionality reduction property of PCA, the size of SPN is greatly reduced, consequently reducing the time cost of calculating similarity between SPNs. Our experiments are conducted on the Dresden database, and results demonstrate that the proposed method outperforms could achieve the state-of-art performance in terms of the Receiver Operating Characteristic (ROC) curves while reducing the dimensionality of SPN.

Item Type:	Conference Item (Paper)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General)
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Journal or Publication Title:	2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP)
Publisher:	IEEE
Official Date:	2014
Dates:	Date Event 2014 Published
Page Range:	pp. 436-440
DOI:	10.1109/ChinaSIP.2014.6889280
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	28 December 2015
Embodied As:	1
Conference Paper Type:	Paper
Title of Event:	2014 IEEE China Summit & International Conference on Signal and Information Processing
Type of Event:	Conference
Location of Event:	Xi'an, China
Date(s) of Event:	9-13 Jul 2014

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