NDLI: Intrinsic Sensor Noise Features for Forensic Analysis on Scanners and Scanned Images

Content Provider	IEEE Xplore Digital Library
Author	Hongmei Gou Swaminathan, A. Min Wu
Copyright Year	2005
Abstract	A large portion of digital images available today are acquired using digital cameras or scanners. While cameras provide digital reproduction of natural scenes, scanners are often used to capture hard-copy art in a more controlled environment. In this paper, new techniques for nonintrusive scanner forensics that utilize intrinsic sensor noise features are proposed to verify the source and integrity of digital scanned images. Scanning noise is analyzed from several aspects using only scanned image samples, including through image denoising, wavelet analysis, and neighborhood prediction, and then obtain statistical features from each characterization. Based on the proposed statistical features of scanning noise, a robust scanner identifier is constructed to determine the model/brand of the scanner used to capture a scanned image. Utilizing these noise features, we extend the scope of acquisition forensics to differentiating scanned images from camera-taken photographs and computer-generated graphics. The proposed noise features also enable tampering forensics to detect postprocessing operations on scanned images. Experimental results are presented to demonstrate the effectiveness of employing the proposed noise features for performing various forensic analysis on scanners and scanned images.
Sponsorship	IEEE Signal Processing Society
Starting Page	476
Ending Page	491
Page Count	16
File Size	1415630
File Format	PDF
ISSN	15566013
Volume Number	4
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image sensors Sensor phenomena and characterization Forensics Image analysis Working environment noise Digital cameras Digital images Layout Art Image denoising tampering detection Acquisition apparatus identification image forensics scanner forensics scanning noise
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Safety, Risk, Reliability and Quality

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