J. T. Bushberg and J. M. Boone, The essential physics of medical imaging, 2011.

K. D. Toennies, Guide to Medical Image Analysis -Methods and Algorithms, Advances in Computer Vision and Pattern Recognition, 2012.

J. Redi, W. Taktak, and J. L. Dugelay, Digital image forensics: a booklet for beginners, Multimedia Tools and Applications, vol.51, issue.1, pp.133-162, 2011.

A. Piva, An overview on image forensics, ISRN Signal Processing, vol.2013, 2013.

H. T. Sencar and N. Memon, Digital Image Forensics: There is More to a Picture Than Meets the Eye, 2013.

J. Lukas, J. Fridrich, and M. Goljan, Digital camera identification from sensor pattern noise, IEEE Transactions on Information Forensics and Security, vol.1, issue.2, pp.205-214, 2006.

M. Chen, J. Fridrich, M. Goljan, and J. Lukás, Determining image origin and integrity using sensor noise, IEEE Transactions on, vol.3, issue.1, pp.74-90, 2008.

M. Chen, J. Fridrich, and M. Goljan, Digital imaging sensor identification (further study, Security, Steganography, and Watermarking of Multimedia Contents IX, vol.6505, 2007.

H. B. Costa, R. F. Zampolo, D. M. Carmo, A. R. Castro, and E. P. Santos, On the practical aspects of applying the prnu approach to device identification tasks, International Conference on Multimedia Forensics, Surveillance and Security, 2012.

O. Celiktutan, ?. I. Avcibas¸, B. Avcibas¸, N. Sankur, and . Memon, Source cellphone identification, IEEE Signal Processing and Communications Applications, pp.1-3, 2006.

M. Kharrazi, H. T. Sencar, and N. Memon, Blind source camera identification, Image Processing, 2004. ICIP '04. 2004 International Conference on, vol.1, pp.709-712, 2004.

X. Kang, Y. Li, Z. Qu, and J. Huang, Enhancing source camera identification performance with a camera reference phase sensor pattern noise, IEEE Transactions on, vol.7, issue.2, pp.393-402, 2012.

C. T. Li, Source camera identification using enhanced sensor pattern noise, Trans. Info. For. Sec, vol.5, issue.2, pp.280-287, 2010.

N. Khanna, A. K. Mikkilineni, G. T. Chiu, J. P. Allebach, and E. J. Delp, Scanner identification using sensor pattern noise, SPIE Conference on Security, Steganography, and Watermarking of Multimedia Contents, vol.6505, 2007.

C. Choi, M. Lee, and H. Lee, Scanner identification using spectral noise in the frequency domain, 17th IEEE International Conference on, pp.2121-2124, 2010.

J. B. Solomon, O. Christianson, and E. Samei, Quantitative comparison of noise texture across CT scanners from different manufacturers, Medical physics, vol.39, issue.10, pp.6048-55, 2012.

Y. Duan, G. Coatrieux, and H. Shu, Identification of digital radiography image source based on digital radiography pattern noise recognition, Image Processing (ICIP), pp.5372-5376, 2014.

A. Kharboutly, W. Puech, G. Subsol, and D. Hoa, Ct-scanner identification based on sensor noise analysis, Visual Information Processing (EUVIP), 2014 5th European Workshop on, pp.1-5, 2014.
URL : https://hal.archives-ouvertes.fr/lirmm-01379581

C. Shi, N. Law, H. Leung, and W. Siu, Weighting optimization with neural network for photo-response-non-uniformity-based source camera identification, Asia-Pacific Signal and Information Processing Association, pp.1-7, 2014.

L. Chan, N. Law, and W. Siu, A two dimensional camera identification method based on image sensor noise, Acoustics, Speech and Signal Processing, pp.1741-1744, 2012.

M. K. M?hçak, K. Kozintsev, and . Ramchandran, Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising, Acoustics, Speech, and Signal Processing, vol.6, pp.3253-3256, 1999.

E. Jerhotová, A. Procházka, and J. Svihlík, Biomedical image volumes denoising via the wavelet transform, 2011.

P. Gravel, G. Beaudoin, and J. A. De-guise, A method for modeling noise in medical images, IEEE Transactions on, vol.23, issue.10, pp.1221-1232, 2004.

N. Jacob and A. Martin, Image denoising in the wavelet domain using Wiener filtering, 2004.