J. Atick, Could information theory provide an ecological theory of sensory processing?, Network: Computation in Neural Systems, vol.3, issue.2, pp.213-251, 1992.
DOI : 10.1088/0954-898X_3_2_009

J. Atick, Z. Li, and A. Redlich, Understanding Retinal Color Coding from First Principles, Neural Computation, vol.4, issue.4, pp.559-572, 1992.
DOI : 10.1113/jphysiol.1985.sp015591

J. Atick and A. Redlich, Towards a Theory of Early Visual Processing, Neural Computation, vol.2, issue.3, pp.308-320, 1990.
DOI : 10.1098/rspb.1982.0085

F. Attneave, Some informational aspects of visual perception., Psychological Review, vol.61, issue.3, pp.183-193, 1954.
DOI : 10.1037/h0054663

H. Barlow, Possible Principles Underlying the Transformations of Sensory Messages, Sensory Communications, pp.217-234, 1961.
DOI : 10.7551/mitpress/9780262518420.003.0013

G. Buchsbaum and A. Gottschalk, Trichromacy, Opponent Colours Coding and Optimum Colour Information Transmission in the Retina, Proceedings of the Royal Society B: Biological Sciences, vol.220, issue.1218, pp.89-113, 1983.
DOI : 10.1098/rspb.1983.0090

A. Chakrabarti and T. Zickler, Statistics of real-world hyperspectral images, CVPR 2011, pp.193-200, 2011.
DOI : 10.1109/CVPR.2011.5995660

J. Derrico and G. Buchsbaum, A computational model of spatiochromatic image coding in early vision, Journal of Visual Communication and Image Representation, vol.2, issue.1, 1991.
DOI : 10.1016/1047-3203(91)90033-C

M. Elad and M. Aharon, Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries, IEEE Transactions on Image Processing, vol.15, issue.12, pp.3736-3745, 2006.
DOI : 10.1109/TIP.2006.881969

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.6477

D. Field, Relations between the statistics of natural images and the response properties of cortical cells, Journal of the Optical Society of America A, vol.4, issue.12, pp.2379-2394, 1987.
DOI : 10.1364/JOSAA.4.002379

B. Goldstein, Sensation and Perception, 2013.

R. Gray, Toeplitz and Circulant Matrices: A Review, Foundations and Trends?? in Communications and Information Theory, vol.2, issue.3, 2006.
DOI : 10.1561/0100000006

J. Hays and A. Efros, Scene completion using millions of photographs, ACM Transactions on Graphics (SIGGRAPH), 2007.

J. Huang, Statistics of Natural Images and Models, 2000.

J. Huang and D. Mumford, Statistics of natural images and models, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 1999.

A. Hyvärinen, J. Hurri, and P. Hoyer, Natural Image Statistics: A Probabilistic Approach to Early Computational Vision, 2009.
DOI : 10.1007/978-1-84882-491-1

J. Jiang, D. Liu, J. Gu, and S. Süsstrunk, What is the space of spectral sensitivity functions for digital color cameras?, 2013 IEEE Workshop on Applications of Computer Vision (WACV), pp.168-179, 2013.
DOI : 10.1109/WACV.2013.6475015

J. Von-kries, Chromatic adaptation. Festschrift der Albrecht-Ludwigs- Universität, pp.145-158, 1902.

M. Langer, Large-scale failures of f^-?? scaling in natural image spectra, Journal of the Optical Society of America A, vol.17, issue.1, pp.17-28, 2000.
DOI : 10.1364/JOSAA.17.000028

D. Mackay, TOWARDS AN INFORMATION-FLOW MODEL OF HUMAN BEHAVIOUR*, British Journal of Psychology, vol.47, issue.1, pp.30-43, 1956.
DOI : 10.1111/j.2044-8295.1956.tb00559.x

D. Mumford and B. Gidas, Stochastic models for generic images, Quarterly of Applied Mathematics, vol.59, issue.1, pp.85-112, 2001.
DOI : 10.1090/qam/1811096

Y. Ohta, T. Kanade, and T. Sakai, Color information for region segmentation . Computer graphics and image processing 13, pp.222-241, 1980.

B. Olshausen and D. Field, Emergence of simple-cell receptive field properties by learning a sparse code for natural images, Nature, vol.381, issue.6583, pp.607-609, 1996.
DOI : 10.1038/381607a0

B. Olshausen and D. Field, Sparse coding with an overcomplete basis set: A strategy employed by v1? Vision research 37, pp.607-609, 1997.

C. Párraga, T. Troscianko, and D. Tolhurst, Spatiochromatic Properties of Natural Images and Human Vision, Current Biology, vol.12, issue.6, pp.483-487, 2002.
DOI : 10.1016/S0960-9822(02)00718-2

T. Pouli, D. Cunningham, and E. Reinhard, Image statistics and their applications in computer graphics, Eurographics State of the Art Report, pp.83-112, 2010.

D. Ruderman, Origins of scaling in natural images, Vision Research, vol.37, issue.23, pp.3385-3398, 1996.
DOI : 10.1016/S0042-6989(97)00008-4

D. Ruderman and W. Bialek, Statistics of natural images: Scaling in the woods, Physical Review Letters, vol.73, issue.6, pp.814-817, 1994.
DOI : 10.1103/PhysRevLett.73.814

D. Ruderman, T. Cronin, and C. Chiao, Statistics of cone responses to natural images: implications for visual coding, Journal of the Optical Society of America A, vol.15, issue.8, pp.2036-2045, 1998.
DOI : 10.1364/JOSAA.15.002036

R. Shapley and C. Enroth-cugell, Visual adaptation and retinal gain controls, Progress in Retinal Research. volume 3. chapter 9, pp.263-346, 1984.

M. Srinivasan, S. Laughlin, and A. Dubs, Predictive Coding: A Fresh View of Inhibition in the Retina, Proceedings of the Royal Society B: Biological Sciences, vol.216, issue.1205, pp.427-459, 1982.
DOI : 10.1098/rspb.1982.0085

A. Srivastava, A. B. Lee, E. P. Simoncelli, and S. C. Zhu, On advances in statistical modeling of natural images, Journal of Mathematical Imaging and Vision, vol.18, issue.1, pp.17-33, 2003.
DOI : 10.1023/A:1021889010444

A. Stockman, D. Macleod, and N. Johnson, Spectral sensitivities of the human cones, Journal of the Optical Society of America A, vol.10, issue.12, pp.2491-2521, 1993.
DOI : 10.1364/JOSAA.10.002491

D. Tolhurst, Y. Tadmor, and T. Chao, Amplitude spectra of natural images, Ophthalmic and Physiological Optics, vol.1, issue.2, pp.229-232, 1992.
DOI : 10.1111/j.1475-1313.1992.tb00296.x

T. Wachtler, T. W. Lee, and T. Sejnowski, Chromatic structure of natural scenes, Journal of the Optical Society of America A, vol.18, issue.1, pp.65-77, 2001.
DOI : 10.1364/JOSAA.18.000065