[1] J. Lukáˇs, J. Fridrich, and M. Goljan, “Digital camera identification from
sensor pattern noise,” IEEE Trans. Inf. Forensics Security, vol. 1, no.
2, pp. 205–214, Jun. 2006.
[2] M. Goljan, M. Chen, and J. Fridrich, “Identifying common source digital
camera from image pairs,” in Proc. IEEE Int. Conf. Image Processing,
San Antonio, TX, Sep. 2007, pp. 14–19.
[3] Y. Sutcu, S. Batram, H. T. Sencar, and N. Memon, “Improvements on
sensor noise based source camera identification,” in Proc. IEEE Int.
Conf. Multimedia and Expo, Beijin, China, Jul. 2–5, 2007, pp. 24–27.
[4] R. Caldelli, I. Amerini, F. Picchioni, A. De Rosa, and F. Uccheddu,
“Multimedia forensic techniques for acquisition device identification
and digital image authentication,” in Handbook of Research on Computational
Forensics, Digital Crime and Investigation: Methods and
Solutions, C.-T. Li, Ed. Hershey, PA: Information Science Reference
(IGI Global), Nov. 2009.
[5] R. Caldelli, I. Amerini, and F. Picchioni, “Distinguishing between
camera and scanned images by means of frequency analysis,” Int. J.
Digital Crime Forensics, vol. 2, no. 1, Jan./Mar. 2010.
[6] M. Chen, J. Fridrich, M. Goljan, and J. Lukáˇs, “Determining image
origin and integrity using sensor noise,” IEEE Trans. Inf. Forensics Security,
vol. 3, no. 1, pp. 74–90, Mar. 2008.
[7] C.-T. Li, “Methods for Identifying Imaging Devices and Classifying
Images Acquired by Unknown Imaging Devices,” U.K. Patent Pending,
Application 0902406.5.
[8] N. Khanna, G. T.-C. Chiu, J. P. Allebach, and E. J. Delp, “Forensic
techniques for classifying scanner, computer generated and digital
camera images,” in Proc. IEEE Int. Conf. Acoustics, Speech, and
Signal Processing, Las Vegas, NV, Mar. 30–Apr. 4 2008.
[9] Y. F. Hsu and S. F. Chang, “Image splicing detection using camera
response function consistency and automatic segmentation,” in Proc.
IEEE Int. Conf. Multimedia and Expo, Beijin, China, Jul. 2–5, 2007.
[10] A. C. Popescu and H. Farid, “Exposing digital forgeries by detecting
traces of resampling,” IEEE Trans. Signal Process., vol. 53, no. 2, pt.
2, pp. 758–767, Feb. 2005.
[11] A. C. Popescu and H. Farid, “Exposing digital forgeries in color filter
array interpolated images,” IEEE Trans. Signal Process., vol. 53, no.
10, pp. 3948–3959, Oct. 2005.
[12] A. Swaminathan, M. Wu, and K. J. R. Liu, “Nonintrusive component
forensics of visual sensors using output images,” IEEE Trans. Inf.
Forensics Security, vol. 2, no. 1, pp. 91–106, Mar. 2007.
[13] M. J. Sorell, “Digital camera source identification through JPEG quantisation,”
in Multimedia Forensics and Security, C.-T. Li, Ed. Hershey,
PA: Information Science Reference (IGI Global), 2008.
[14] M. J. Sorell, “Conditions for effective detection and identification of
primary quantisation of re-quantized JPEG images,” Int. J. Digital
Crime Forensics, vol. 1, no. 2, pp. 13–27, Apr./Jun. 2009.
[15] S. Choi, E. Y. Lam, and K. K. Y.Wong, “Source camera identification
using footprints from lens aberration,” Proc. SPIE, 2006.
[16] V. T. Lanh, S. Emmanuel, and M. S. Kankanhalli, “Identifying source
cell phone using chromatic aberration,” in Proc. IEEE Conf. Multimedia
and Expo, Beijin, China, Jul. 2–5, 2007.
[17] B. Sankur, O. Celiktutan, and I. Avcibas, “Blind identification of
cell phone cameras,” in Proc. SPIE, Electronic Imaging, Security,
Steganography, and Watermarking of Multimedia Contents IX, San
Jose, CA, Jan. 29–Feb. 1 2007, vol. 6505, pp. 1H–1I.
[18] G. Xu, S. Gao, Y. Q. Shi, W. Su, and R. Hu, “Camera-model identification
using markovian transition probability matrix,” in Proc. Int. Workshop
on DigitalWatermarking, Guildford, U.K., Aug. 24–26, 2009, pp.
294–307.
[19] P. Sutthiwan, J. Ye, and Y. Q. Shi, “An enhanced statistical approach
to identifying photorealistic images,” in Proc. Int.Workshop on Digital
Watermarking, Guildford, U.K., Aug. 24–26, 2009, pp. 323–335.
[20] S. Bayram, H. T. Sencar, and N. Memon, “Video copy detection based
on source device characteristics: A complementary approach to content-
based methods,” in Proc. First ACM Int. Conf. Multimedia Information
Retrieval, Vancouver, Canada, Oct. 30–31, 2008, pp. 435–442.
[21] H. Gou, A. Swaminathan, and M. Wu, “Intrinsic sensor noise features
for forensic analysis on scanners and scanned images,” IEEE Trans.
Inf. Forensics Security, vol. 4, no. 3, pp. 476–491, Sep. 2009.
[22] J. Fridrich, “Digital image forensic using sensor noise,” IEEE Signal
Process. Mag., vol. 26, no. 2, pp. 26–37, Mar. 2009.
[23] J. R. Janesick, Scientific Charge-Coupled Devices. Bellingham,WA:
SPIE, 2001, vol. PM83.
[24] T. Yamada, “CCD image sensors,” in Image Sensors and Signal Processing
for Digital Still Cameras, J. Nakamura, Ed. NewYork: Taylor
& Francis, 2006.
[25] M. Chen, J. Fridrich, and M. Goljan, “Digital imaging sensor identification
(further study),” in Proc. SPIE Electronic Imaging, Jan. 2007,
Photonics West.