B. A. Wandell and J. E. Farrell, Water into wine: converting scanner RGB to tristimulus xyz, Proc. SPIE, Device-Independent Color Imaging and Imaging Systems Integration, pp.92-101, 1993.
DOI : 10.1117/12.149032

J. Farrell, D. Sherman, and B. W. , How to turn your scanner into a colorimeter, Proc. of IS&T 10th Int. Congress on Adv. in Non-Impact Printing Technologies, pp.579-581, 1994.

T. Johnson, Methods for characterizing colour scanners and digital cameras, Displays, vol.16, issue.4, pp.183-191, 1996.
DOI : 10.1016/0141-9382(96)01012-8

W. Wu, J. P. Allebach, and M. Analoui, Imaging colorimetry using a digital camera, Journal of Imaging Science and Technology, vol.44, pp.267-279, 2000.

G. D. Finlayson and P. M. Morovic, Metamer constrained color correction, Journal of Imaging Science and Technology, vol.44, issue.4, pp.295-300, 2000.

G. Hong, M. R. Luo, and P. A. Rhodes, A study of digital camera colorimetric characterization based on polynomial modeling, Color Research & Application, vol.13, issue.1, pp.76-84, 2001.
DOI : 10.1002/col.5080130311

F. H. Imai, S. Quan, M. R. Rosen, and R. S. Berns, Digital camera filter design for colorimetric and spectral accuracy, Proc. of third international

V. Cheung, C. Li, J. Hardeberg, D. Connah, and S. Westland, Characterization of trichromatic color cameras by using a new multispectral imaging technique, Journal of the Optical Society of America A, vol.22, issue.7, pp.1231-1240, 2005.
DOI : 10.1364/JOSAA.22.001231

R. S. Berns and M. J. Shyu, Colorimetric characterization of a desktop drum scanner using a spectral model, Journal of Electronic Imaging, vol.4, issue.4, pp.360-372, 1995.

M. Shi and G. Healey, Using reflectance models for color scanner calibration, Journal of the Optical Society of America A, vol.19, issue.4, pp.645-656, 2002.
DOI : 10.1364/JOSAA.19.000645

V. Cheung, S. Westland, D. Connah, and C. Ripamonti, A comparative study of the characterisation of colour cameras by means of neural networks and polynomial transforms, Coloration Technology, vol.42, issue.1, pp.19-25, 2004.
DOI : 10.1117/12.57526

T. Jaaskelainen, J. Parkkinen, and S. Toyooka, Vector-subspace model for color representation, Journal of the Optical Society of America A, vol.7, issue.4, pp.725-730, 1990.
DOI : 10.1364/JOSAA.7.000725

F. H. Imai and R. S. Berns, Spectral estimation using trichromatic digital cameras, Proceedings of the International Symposium on Multispectral Imaging and Color Reproduction for Digital Archives, pp.1-8, 1999.

D. Connah, S. Westland, and M. G. Thomson, Recovering spectral information using digital camera systems, Coloration Technology, vol.6, issue.6, pp.309-312, 2001.
DOI : 10.1002/col.1064

H. Shen, P. Cai, S. Shao, and J. H. Xin, Reflectance reconstruction for multispectral imaging by adaptive Wiener estimation, Optics Express, vol.15, issue.23, pp.15545-15554, 2007.
DOI : 10.1364/OE.15.015545

URL : http://ira.lib.polyu.edu.hk/bitstream/10397/4532/1/Shen_Reflectance_reconstruction_multispectral.pdf

I. Tr, Graphic technology and photography ? Colour characterization of digital still cameras (DSCs), 2012.

A. Ribés and F. Schmitt, A fully automatic method for the reconstruction of spectral reflectance curves by using mixture density networks, Colour Image Processing and Analysis. First European Conference on Colour in Graphics, Imaging, and Vision, pp.1691-1701, 2003.
DOI : 10.1016/S0167-8655(02)00325-2

A. Mansouri, F. S. Marzani, and P. Gouton, Neural networks in two cascade algorithms for spectral reflectance reconstruction, IEEE International Conference on Image Processing 2005, pp.718-739, 2005.
DOI : 10.1109/ICIP.2005.1530156

Y. Yang and H. Stark, Solutions of several color-matching problems using projection theory, Journal of the Optical Society of America A, vol.11, issue.1, pp.89-96, 1994.
DOI : 10.1364/JOSAA.11.000089

C. Osorio-gómez, E. Mejía-ospino, and J. Guerrero-bermúdez, Spectral reflectance curves for multispectral imaging, combining different techniques and a neural network, Revista mexicana de física, vol.55, issue.2, pp.120-124, 2009.

C. S. Chane, M. Thoury, A. Tourniã?, and J. Echard, Implementation of a Neural Network for Multispectral Luminescence Imaging of Lake Pigment Paints, Applied Spectroscopy, vol.41, issue.1, pp.430-441, 2015.
DOI : 10.1016/j.compmedimag.2010.07.001

S. G. Kandi, Estimating spectral and colorimetric data of printed samples from digital camera responses under two illuminants by neural network, Journal of Printing Science and Technology, vol.47, issue.6, pp.392-400, 2010.

A. Hajipour and A. Shams-nateri, Effect of classification by competitive neural network on reconstruction of reflectance spectra using principal component analysis, Color Research & Application, vol.30, issue.2, pp.182-188, 2017.
DOI : 10.1007/978-1-4419-1197-1

M. D. Buhmann, Radial basis functions: theory and implementations, 2003.
DOI : 10.1017/CBO9780511543241

R. M. Nguyen, D. K. Prasad, and M. S. Brown, Training-Based Spectral Reconstruction from a Single RGB Image, pp.186-201, 2014.
DOI : 10.1007/978-3-319-10584-0_13

S. Chen, C. F. Cowan, and P. M. Grant, Orthogonal least squares learning algorithm for radial basis function networks, IEEE Transactions on Neural Networks, vol.2, issue.2, pp.302-309, 1991.
DOI : 10.1109/72.80341

URL : https://eprints.soton.ac.uk/251135/1/00080341.pdf

K. Barnard, L. Martin, B. Funt, and A. Coath, A data set for color research, Color Research & Application, vol.17, issue.3, pp.147-151, 2002.
DOI : 10.1109/34.391390

K. Xiao, J. M. Yates, F. Zardawi, S. Sueeprasan, N. Liao et al., Characterising the variations in ethnic skin colours: a new calibrated data base for human skin, Skin Research and Technology, vol.12, issue.3, pp.21-29, 2017.
DOI : 10.1111/j.0909-752X.2006.00145.x

P. Lapray, X. Wang, J. Thomas, and P. Gouton, Multispectral Filter Arrays: Recent Advances and Practical Implementation, Sensors, vol.13, issue.12, pp.21626-21659, 2014.
DOI : 10.1109/TIP.2003.819861

URL : https://hal.archives-ouvertes.fr/hal-01214035

D. H. Foster, K. Amano, S. M. Nascimento, and M. J. Foster, Frequency of metamerism in natural scenes, CIE Vienna: Central Bureau of the CIE J. Opt. Soc. Am. A, vol.23, pp.142-2001, 2001.

H. A. Khan, J. B. Thomas, and J. Y. Hardeberg, Multispectral Constancy Based on Spectral Adaptation Transform, 20th Scandinavian Conference on Image Analysis, pp.459-470, 2017.
DOI : 10.1364/JOSAA.18.000412

URL : https://hal.archives-ouvertes.fr/hal-01672532

H. A. Khan, J. B. Thomas, J. Y. Hardeberg, and O. Laligant, Illuminant estimation in multispectral imaging, Journal of the Optical Society of America A, vol.34, issue.7, 2017.
DOI : 10.1364/JOSAA.34.001085.d005

URL : https://hal.archives-ouvertes.fr/hal-01672526