Unsupervised classification of digital images using enhanced sensor pattern noise

ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Volumn , Issue , 2010, Pages 3429-3432

  Li, Chang Tsun ^a  

^a UNIVERSITY OF WARWICK   (United Kingdom)

Author keywords

Digital forensics; Image classification; Machine learning; Sensor pattern noise

Indexed keywords

CLASS LABELS; CLASSIFICATION SYSTEM; DATA SETS; DIGITAL FORENSIC; DIGITAL IMAGE; IMAGE CLASSIFIERS; MACHINE-LEARNING; MARKOV RANDOM FIELD; ONE CAMERA; PATTERN NOISE; PRIORI KNOWLEDGE; SMALL TRAINING; UNSUPERVISED CLASSIFICATION;

CAMERAS; CLASSIFIERS; ELECTRONIC CRIME COUNTERMEASURES; FABRICS; IMAGE ANALYSIS; IMAGE CLASSIFICATION; LEARNING SYSTEMS; NANOSENSORS; RANDOM VARIABLES;

CLASSIFICATION (OF INFORMATION);

EID: 77955989740     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2010.5537850     Document Type: Conference Paper

References (7)

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2. M. Chen, J. Fridrich, M. Goljan, and J. Lukáš, "Determining Image Origin and Integrity Using Sensor Noise," IEEE Transactions on Information Forensics and Security, vol. 3, no. 1, pp. 74-90, March 2008.
3. C.-T. Li, "Source Camera Identification Using Enhanced Sensor Pattern Noise," IEEE Transactions on Information Forensics and Security, 2010 (accepted).
4. C.-T. Li and Y. Li, " Digital Camera Identification Using Colour-Decoupled Photo Response Non-Uniformity Noise Pattern," in Proc. IEEE International Symposium on Circuits and Systems, Paris, France, 30 May - 2 June, 2010.
5. J. Lukáš, J. Fridrich and M. Goljan, "Digital Camera Identification from Sensor Pattern Noise," IEEE Transactions on Information Forensics and Security, vol. 1, no. 2, pp. 205-214, June 2006.
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7. R. Wilson and C.-T. Li, "A Class of Discrete Multiresolution Random Fields and its Application to Image Segmentation," IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 25, no. 1, pp. 42-56, 2003.