C. Aguerrebere, J. Delon, P. Gousseau, and . Musé, Simultaneous HDR image reconstruction and denoising for dynamic scenes, IEEE International Conference on Computational Photography (ICCP), 2002.
DOI : 10.1109/ICCPhot.2013.6528309
URL : https://hal.archives-ouvertes.fr/hal-01054870

D. Alleysson, Spatially coherent colour image reconstruction from a trichromatic mosaic with random arrangement of chromatic samples, Ophthalmic and Physiological Optics, vol.141, issue.5, pp.492-502, 2010.
DOI : 10.1111/j.1475-1313.2010.00771.x
URL : https://hal.archives-ouvertes.fr/hal-00965244

D. Alleysson and D. Méary, Neurogeometry of color vision, Journal of Physiology-Paris, vol.106, issue.5-6, pp.284-296, 2012.
DOI : 10.1016/j.jphysparis.2012.02.002
URL : https://hal.archives-ouvertes.fr/hal-00927594

L. A. Ambrosio, N. Gigli, and G. Savaré, Gradient flows in metric spaces and in the space of probability measures, Lectures in Mathematics, 2005.

M. Ashikhmin, A tone mapping algorithm for high contrast images, Eurographics Workshop on Rendering, pp.1-11, 2002.

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

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

T. O. Aydin, R. Mantiuk, K. Myszkowski, and H. P. Seidel, Dynamic range independent image quality assessment, ACM SIGGRAPH 2008 papers, pp.1-10, 2008.

C. Ballester, V. Caselles, L. Igual, J. Verdera, and B. Rougé, A Variational Model for P+XS Image Fusion, International Journal of Computer Vision, vol.4, issue.6, pp.43-58, 2006.
DOI : 10.1007/s11263-006-6852-x

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

A. Berlin and P. Kay, Basic Color Terms: Their Universality and Evolution, 1969.

M. Bertalmío, V. Caselles, and E. Provenzi, Issues About Retinex Theory and Contrast Enhancement, International Journal of Computer Vision, vol.13, issue.2, pp.101-119, 2009.
DOI : 10.1007/s11263-009-0221-5

M. Bertalmío, V. Caselles, E. Provenzi, and A. Rizzi, Perceptual Color Correction Through Variational Techniques, IEEE Transactions on Image Processing, vol.16, issue.4, pp.1058-1072, 2007.
DOI : 10.1109/TIP.2007.891777

G. Boynton, Color Vision: How the Cortex Represents Color, Current Biology, vol.12, issue.24, pp.838-840, 2002.
DOI : 10.1016/S0960-9822(02)01347-7

G. Buchsbaum, A spatial processor model for object colour perception, Journal of the Franklin Institute, vol.310, issue.1, pp.337-350, 1980.
DOI : 10.1016/0016-0032(80)90058-7

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. Chambolle and T. Pock, A First-Order Primal-Dual Algorithm for Convex Problems with??Applications to Imaging, Journal of Mathematical Imaging and Vision, vol.60, issue.5, pp.120-145, 2011.
DOI : 10.1007/s10851-010-0251-1
URL : https://hal.archives-ouvertes.fr/hal-00490826

K. Chiu, M. Herf, P. Shirley, S. Swamy, C. Wang et al., Spatially nonuniform scaling functions for high contrast images, Proceedings of Graphics Interface 93, pp.245-253, 1993.

P. G. Ciarlet, B. Miara, and J. Thomas, Introduction to numerical linear algebra and optimisation, 1989.

I. J. Cox, S. Roy, and S. L. Hingorani, Dynamic histogram warping of image pairs for constant image brightness, Proceedings., International Conference on Image Processing, pp.366-369, 1995.
DOI : 10.1109/ICIP.1995.537491

P. Debevec and J. Malik, Recovering high dynamic range radiance maps from photographs, Proc. of the 24th annual conf. on Computer graphics, pp.369-378, 1997.

J. Delon, Fine comparison of images and other problems, 2004.

J. Delon, Midway Image Equalization, Journal of Mathematical Imaging and Vision, vol.21, issue.2, pp.119-134, 2004.
DOI : 10.1023/B:JMIV.0000035178.72139.2d
URL : https://hal.archives-ouvertes.fr/hal-01338124

J. B. 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, pp.31-38, 1991.
DOI : 10.1016/1047-3203(91)90033-C

F. Dunn, M. Lankheet, and F. Rieke, Light adaptation in cone vision involves switching between receptor and post-receptor sites, Nature, vol.268, issue.7162, pp.603-606, 2007.
DOI : 10.1038/nature06150

F. Durand and J. Dorsey, Fast bilateral filtering for the display of high-dynamic-range images, Proceedings of the 29th annual conference on Computer graphics and interactive techniques, pp.257-266, 2002.

A. Eden, M. Uyttendaele, and R. Szeliski, Seamless Image Stitching of Scenes with Large Motions and Exposure Differences, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2498-2505, 2006.
DOI : 10.1109/CVPR.2006.268

M. D. Fairchild, Color appearance models, 2005.

R. Fattal, D. Lischinski, and M. Werman, Gradient domain high dynamic range compression, In ACM Trans. Graphics, vol.21, issue.3, pp.249-256, 2002.

S. Ferradans, M. Bertalmío, E. Provenzi, and V. Caselles, An Analysis of Visual Adaptation and Contrast Perception for Tone Mapping, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.33, issue.10, pp.2002-2012, 2011.
DOI : 10.1109/TPAMI.2011.46

S. Ferradans, M. Bertalmío, E. Provenzi, and V. Caselles, Generation of hdr images in non-static conditions based on gradient fusion, Proceedings of the VISAPP Conference, pp.31-37, 2012.

S. Ferradans, R. Palma-amestoy, and E. Provenzi, An Algorithmic Analysis of Variational Models for Perceptual Local Contrast Enhancement, Image Processing On Line, vol.5, issue.10, pp.219-233, 2015.
DOI : 10.5201/ipol.2015.131

J. A. Ferwerda, S. N. Pattanaik, P. Shirley, and D. P. Greenberg, A model of visual adaptation for realistic image synthesis, Proceedings of the 23rd annual conference on Computer graphics and interactive techniques , SIGGRAPH '96, pp.249-258, 1996.
DOI : 10.1145/237170.237262

D. J. 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

O. Gallo, N. Gelfand, W. Chen, M. Tico, and K. Pulli, Artifact-free High Dynamic Range imaging, 2009 IEEE International Conference on Computational Photography (ICCP), 2009.
DOI : 10.1109/ICCPHOT.2009.5559003

B. E. Goldstein, Sensation and Perception, Cengage Learning, 2013.

R. C. Gonzales and R. E. Woods, Digital image processing, 2002.

M. Granados, B. Ajdin, M. Wand, C. Theobalt, H. Seidel et al., Optimal HDR reconstruction with linear digital cameras, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.215-222, 2010.
DOI : 10.1109/CVPR.2010.5540208

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

G. Gronchi and E. Provenzi, A variational model for context-driven effects in higher-level cognition, 2016.

T. Grosch, Fast and robust high dynamic range image generation with camera and object movement, Vision, Modeling and Visualization, RWTH Aachen, pp.277-284, 2006.

M. Grundland and N. A. Dodgson, Color histogram specification by histogram warping, Color Imaging X: Processing, Hardcopy, and Applications, pp.610-624, 2005.
DOI : 10.1117/12.596953

J. Hays and A. Efros, Scene completion using millions of photographs, In ACM Transactions on Graphics, vol.26, 2007.

Y. Heo, K. Lee, S. Lee, Y. Moon, and J. Cha, Ghost-Free High Dynamic Range Imaging, Computer Vision -ACCV 2010, pp.486-500, 2011.
DOI : 10.1109/TPAMI.2007.70732

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. O. Hoyer, Natural Image Statistics: A Probabilistic Approach to Early Computational Vision, 2009.
DOI : 10.1007/978-1-84882-491-1

K. Jacobs, C. Loscos, and G. Ward, Automatic High-Dynamic Range Image Generation for Dynamic Scenes, IEEE Computer Graphics and Applications, vol.28, issue.2, pp.84-93, 2008.
DOI : 10.1109/MCG.2008.23

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

D. J. Jobson, Z. Rahman, and G. A. , A multiscale retinex for bridging the gap between color images and the human observation of scenes, IEEE Transactions on Image Processing, vol.6, issue.7, pp.965-976, 1997.
DOI : 10.1109/83.597272

S. B. Kang, M. Uyttendaele, S. Winder, and R. Szeliski, High dynamic range video, ACM Transactions on Graphics, vol.22, issue.3, pp.319-325, 2003.
DOI : 10.1145/882262.882270

E. A. Khan, A. O. Akyuz, and E. Reinhard, Ghost Removal in High Dynamic Range Images, 2006 International Conference on Image Processing, pp.2005-2008, 2006.
DOI : 10.1109/ICIP.2006.312892

H. Kolb, E. Fernandez, R. Nelson, and . Webvision, The Organization of the Retina and Visual System, 1995.

H. Kotera, A scene-referred color transfer for pleasant imaging on display, IEEE International Conference on Image Processing 2005, 2005.
DOI : 10.1109/ICIP.2005.1529977

G. Krawczyk, K. Myszkowski, and H. P. Seidel, Lightness Perception in Tone Reproduction for High Dynamic Range Images, Computer Graphics Forum, vol.19, issue.7-8, 2005.
DOI : 10.1111/j.1467-8659.2005.00888.x

J. Kuang, G. M. Johnson, and M. D. Fairchild, iCAM06: A refined image appearance model for HDR image rendering, Journal of Visual Communication and Image Representation, vol.18, issue.5, pp.406-414, 2007.
DOI : 10.1016/j.jvcir.2007.06.003

E. H. Land, The Retinex Theory of Color Vision, Scientific American, vol.237, issue.6, pp.108-128, 1977.
DOI : 10.1038/scientificamerican1277-108

E. H. Land and J. J. Mccann, Lightness and Retinex Theory, Journal of the Optical Society of America, vol.61, issue.1, pp.1-11, 1971.
DOI : 10.1364/JOSA.61.000001

B. Funt, A. D. Logvinenko, and C. Godau, Metamer mismatching, IEEE Trans. on Im. Proc, vol.23, issue.1, pp.34-43, 2014.

S. Mallat, A Wavelet Tour of Signal Processing, 1999.

S. Mann, Comparametric equations with practical applications in quantigraphic image processing, IEEE Transactions on Image Processing, vol.9, issue.8, pp.1389-1406, 2000.
DOI : 10.1109/83.855434

S. Mann and R. W. Picard, On being undigital with digital cameras: Extending dynamic range by combining differently exposed pictures, Proceedings of IS&T, pp.442-448, 1995.

R. Mantiuk, K. Myszkowski, and H. P. Seidel, A perceptual framework for contrast processing of high dynamic range images, ACM Transactions on Applied Perception, vol.3, issue.3, pp.286-308, 2006.
DOI : 10.1145/1166087.1166095

J. J. Mccann, Capturing a black cat in shade: past and present of Retinex color appearance models, Journal of Electronic Imaging, vol.13, issue.1, pp.36-47, 2004.
DOI : 10.1117/1.1635831

A. A. Michelson, Studies in Optics, 1927.

T. Mitsunaga and S. K. Nayar, Radiometric self calibration, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.374-380, 1999.
DOI : 10.1109/CVPR.1999.786966

J. Morovic and P. L. Sun, Accurate 3D image colour histogram transformation, Pattern Recognition Letters, vol.24, issue.11, pp.1725-1735, 2003.
DOI : 10.1016/S0167-8655(02)00328-8

L. Neumann and A. Neumann, Color style transfer techniques using hue, lightness and saturation histogram matching. Computational Aesthetics in Graphics, Visaulization and Imaging, pp.111-122, 2005.

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

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

X. Otazu, M. Vanrell, and C. A. Párraga, Multiresolution wavelet framework models brightness induction effects, Vision Research, vol.48, issue.5, pp.733-751, 2008.
DOI : 10.1016/j.visres.2007.12.008

R. Palma-amestoy, E. Provenzi, M. Bertalmío, and V. Caselles, A Perceptually Inspired Variational Framework for Color Enhancement, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.31, issue.3, pp.458-474, 2009.
DOI : 10.1109/TPAMI.2008.86

N. Papadakis, E. Provenzi, and V. Caselles, A Variational Model for Histogram Transfer of Color Images, IEEE Transactions on Image Processing, vol.20, issue.6, pp.1682-1695, 2011.
DOI : 10.1109/TIP.2010.2095869
URL : https://hal.archives-ouvertes.fr/hal-00596053

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

S. N. Pattanaik, J. Tumblin, H. Yee, and D. P. Greenberg, Time-dependent visual adaptation for fast realistic image display, Proceedings of the 27th annual conference on Computer graphics and interactive techniques , SIGGRAPH '00, pp.47-54, 2000.
DOI : 10.1145/344779.344810

M. Pedersen and J. Y. Hardeberg, Full-Reference Image Quality Metrics: Classification and Evaluation, Foundations and Trends?? in Computer Graphics and Vision, vol.7, issue.1, pp.1-80, 2012.
DOI : 10.1561/0600000037

E. Peli, Contrast in complex images, Journal of the Optical Society of America A, vol.7, issue.10, pp.2032-2040, 1990.
DOI : 10.1364/JOSAA.7.002032

P. Pérez, M. Gangnet, and A. Blake, Poisson image editing, ACM SIGGRAPH 2003 Papers, pp.313-318, 2003.

D. Philipona and J. K. O-'regan, Color naming, unique hues, and hue cancellation predicted from singularities in reflection properties, Visual Neuroscience, vol.6, issue.3-4, pp.331-339, 2006.
DOI : 10.1126/science.149.3688.1115

E. Pichon, M. Niethammer, and G. Sapiro, Color histogram equalization through mesh deformation, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429), pp.117-120, 2003.
DOI : 10.1109/ICIP.2003.1246630

G. Piella, Image Fusion for Enhanced Visualization: A??Variational??Approach, International Journal of Computer Vision, vol.13, issue.4, pp.1-11, 2009.
DOI : 10.1007/s11263-009-0206-4

F. Pitié, Statistical signal processing techniques for visual post-production, 2007.

F. Pitié and A. Kokaram, The linear Monge-Kantorovitch linear colour mapping for example-based colour transfer, IET 4th European Conference on Visual Media Production (CVMP 2007), 2007.
DOI : 10.1049/cp:20070055

F. Pitie, A. C. Kokaram, and R. Dahyot, N-dimensional probability density function transfer and its application to colour transfer, International Conference on Computer Vision, 2005.

F. Pitié, A. C. Kokaram, and R. Dahyot, Automated colour grading using colour distribution transfer, Computer Vision and Image Understanding, vol.107, issue.1-2, pp.123-137, 2007.
DOI : 10.1016/j.cviu.2006.11.011

E. Provenzi, Boosting the stability of wavelet-based contrast enhancement of color images through gamma transformations, Journal of Modern Optics, vol.60, issue.14, pp.1145-1150, 2013.
DOI : 10.1126/science.133.3446.80

E. Provenzi and V. Caselles, A Wavelet Perspective on Variational Perceptually-Inspired Color Enhancement, International Journal of Computer Vision, vol.3, issue.1, pp.153-171, 2014.
DOI : 10.1007/s11263-013-0651-y

E. Provenzi, L. De-carli, A. Rizzi, and D. Marini, Mathematical definition and analysis of the Retinex algorithm, Journal of the Optical Society of America A, vol.22, issue.12, pp.2613-2621, 2005.
DOI : 10.1364/JOSAA.22.002613

E. Provenzi, J. Delon, Y. Gousseau, and B. Mazin, On the second order spatiochromatic structure of natural images, Vision Research, vol.120
DOI : 10.1016/j.visres.2015.02.025
URL : https://hal.archives-ouvertes.fr/hal-01054307

E. Provenzi, M. Fierro, A. Rizzi, L. De-carli, D. Gadia et al., Random Spray Retinex: A New Retinex Implementation to Investigate the Local Properties of the Model, IEEE Transactions on Image Processing, vol.16, issue.1, pp.162-171, 2007.
DOI : 10.1109/TIP.2006.884946

E. Provenzi, C. Gatta, M. Fierro, and A. Rizzi, A Spatially Variant White-Patch and Gray-World Method for Color Image Enhancement Driven by Local Contrast, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.30, issue.10, pp.1757-1770, 2008.
DOI : 10.1109/TPAMI.2007.70827

E. Reinhard, M. Ashikhmin, B. Gooch, and P. Shirley, Color transfer between images, IEEE Computer Graphics and Applications, vol.21, issue.4, pp.34-41, 2001.
DOI : 10.1109/38.946629

E. Reinhard and K. Devlin, Dynamic Range Reduction Inspired by Photoreceptor Physiology, IEEE Transactions on Visualization and Computer Graphics, vol.11, issue.01, pp.13-24, 2005.
DOI : 10.1109/TVCG.2005.9

E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, Photographic tone reproduction for digital images, ACM Trans. on Graph, vol.21, pp.267-276, 2002.

E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec, High Dynamic Range Imaging, Acquisition, Display, And Image-Based Lighting, 2005.

H. L. Resnikoff, Differential geometry and color perception, Journal of Mathematical Biology, vol.92, issue.2, pp.97-131, 1974.
DOI : 10.1007/BF00275798

A. Rizzi, C. Gatta, and D. Marini, A new algorithm for unsupervised global and local color correction, Pattern Recognition Letters, vol.24, issue.11, pp.1663-1677, 2003.
DOI : 10.1016/S0167-8655(02)00323-9

M. E. Rudd and I. K. Zemach, Quantitative properties of achromatic color induction: An edge integration analysis, Vision Research, vol.44, issue.10, pp.971-981, 2004.
DOI : 10.1016/j.visres.2003.12.004

D. L. 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. L. 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. L. Ruderman, T. W. 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.152036-2045, 1998.
DOI : 10.1364/JOSAA.15.002036

G. Sapiro and V. Caselles, Histogram Modification via Differential Equations, Journal of Differential Equations, vol.135, issue.2, pp.238-266, 1997.
DOI : 10.1006/jdeq.1996.3237

C. Schlick, Quantization Techniques for Visualization of High Dynamic Range Pictures, Proceedings of the 5th Eurographics Workshop on Rendering Workshop, pp.7-20, 1994.
DOI : 10.1007/978-3-642-87825-1_2

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

S. Shevell, Saturation in human cones, Vision Research, vol.17, issue.3, pp.427-434, 1977.
DOI : 10.1016/0042-6989(77)90035-9

G. Strang and T. Nguyen, Wavelets and Filter Banks, 1996.

D. Tamburrino, D. Alleysson, L. Meylan, and S. Susstrunk, Digital camera workflow for high dynamic range images using a model of retinal processing, Digital Photography IV, 2008.
DOI : 10.1117/12.767728

M. W. Tao, M. K. Johnson, and S. Paris, Error-tolerant image compositing, Proceedings of the 11th European conference on Computer vision: Part I, ECCV 2010, pp.31-44, 2010.

A. Tomaszewska and R. Mantiuk, Image registration for multi-exposure high dynamic range image acquisition, Proc. Intl. Conf. Central Europe on Computer Graphics, Visualization, and Computer Vision (WSCG), 2007.

J. Tumblin and H. Rushmeier, Tone reproduction for realistic images, IEEE Computer Graphics and Applications, vol.13, issue.6, pp.42-48, 1993.
DOI : 10.1109/38.252554

J. Tumblin and G. Turk, LCIS, Proceedings of the 26th annual conference on Computer graphics and interactive techniques , SIGGRAPH '99, pp.83-90, 1999.
DOI : 10.1145/311535.311544

J. Valeton and D. Van-norren, Light adaptation of primate cones: An analysis based on extracellular data, Vision Research, vol.23, issue.12, pp.1539-1547, 1983.
DOI : 10.1016/0042-6989(83)90167-0

J. Vazquez-corral, J. K. O-'regan, M. Vanrell, and G. D. Finlayson, A new spectrally sharpened sensor basis to predict color naming, unique hues, and hue cancellation, Journal of Vision, vol.12, issue.6, pp.1-14, 2012.
DOI : 10.1167/12.6.7

C. Villani, Topics in optimal transportation, 2003.
DOI : 10.1090/gsm/058

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

A. Wade and B. Wandell, Chromatic light adaptation measured using functional magnetic resonance imaging, Journal of neuroscience, vol.22, pp.8148-8157, 2002.

H. Wallach, Brightness constancy and the nature of achromatic colors., Journal of Experimental Psychology, vol.38, issue.3, pp.310-324, 1948.
DOI : 10.1037/h0053804

G. Ward, H. Rushmeier, and C. Piatko, A visibility matching tone reproduction operator for high dynamic range scenes, IEEE Transactions on Visualization and Computer Graphics, vol.3, pp.291-306, 1997.

G. Ward, Fast, Robust Image Registration for Compositing High Dynamic Range Photographs from Hand-Held Exposures, Journal of Graphics Tools, vol.8, issue.2, pp.17-30, 2003.
DOI : 10.1109/83.650848

S. Zeki, Vision of the brain, 1993.