This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Dynamic Range Reduction Inspired by Photoreceptor Physiology
January/February 2005 (vol. 11 no. 1)
pp. 13-24
Erik Reinhard, IEEE Computer Society
A common task in computer graphics is the mapping of digital high dynamic range images to low dynamic range display devices such as monitors and printers. This task is similar to the adaptation processes which occur in the human visual system. Physiological evidence suggests that adaptation already occurs in the photoreceptors, leading to a straightforward model that can be easily adapted for tone reproduction. The result is a fast and practical algorithm for general use with intuitive user parameters that control intensity, contrast, and level of chromatic adaptation, respectively.

[1] P.E. Debevec and J. Malik, “Recovering High Dynamic Range Radiance Maps from Photographs,” SIGGRAPH '97 Conf. Proc., pp. 369-378, Aug. 1997.
[2] H. Seetzen, L.A. Whitehead, and G. Ward, “A High Dynamic Range Display Using Low and High Resolution Modulators,” Proc. Soc. Information Display Int'l Symp., May 2003.
[3] K. Devlin, “A Review of Tone Reproduction Techniques,” Technical Report CSTR-02-005, Computer Science, Univ. of Bristol, 2002.
[4] J. DiCarlo and B. Wandell, “Rendering High Dynamic Range Images,” Proc. SPIE Electronic Imaging 2000 Conf., pp. 392-401, 2000.
[5] N.J. Miller, P.Y. Ngai, and D.D. Miller, “The Application of Computer Graphics in Lighting Design,” J. IES, vol. 14, pp. 6-26, Oct. 1984.
[6] J. Tumblin and H. Rushmeier, “Tone Reproduction for Computer Generated Images,” IEEE Computer Graphics and Applications, vol. 13, no. 6, pp. 42-48, Nov. 1993.
[7] C. Schlick, “Quantization Techniques for the Visualization of High Dynamic Range Pictures,” Photorealistic Rendering Techniques, P. Shirley, G. Sakas, and S. Müller, eds., pp. 7-20, Berlin, Heidelberg, New York: Springer-Verlag, 1994.
[8] G. Ward, “A Contrast-Based Scalefactor for Luminance Display,” Graphics Gems IV, P. Heckbert, ed., pp. 415-421, Boston: Academic Press, 1994.
[9] J.A. Ferwerda, S. Pattanaik, P. Shirley, and D.P. Greenberg, “A Model of Visual Adaptation for Realistic Image Synthesis,” SIGGRAPH '96 Conf. Proc., pp. 249-258, Aug. 1996.
[10] G. Ward, H. Rushmeier, and C. Piatko, “A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes,” IEEE Trans. Visualization and Computer Graphics, vol. 3, no. 4, Oct.-Dec. 1997.
[11] J. Tumblin, J.K. Hodgins, and B.K. Guenter, “Two Methods for Display of High Contrast Images,” ACM Trans. Graphics, vol. 18, no. 1, pp. 56-94, 1999.
[12] S.N. Pattanaik, J. Tumblin, H. Yee, and D.P. Greenberg, “Time-Dependent Visual Adaptation for Fast Realistic Display,” SIGGRAPH 2000 Conf. Proc., pp. 47-54, July 2000.
[13] E. Reinhard, M. Stark, P. Shirley, and J. Ferwerda, “Photographic Tone Reproduction for Digital Images,” ACM Trans. Graphics, vol. 21, no. 3, pp. 267-276, 2002.
[14] E. Reinhard, “Parameter Estimation for Photographic Tone Reproduction,” J. Graphics Tools, vol. 7, no. 1, pp. 45-51, 2003.
[15] F. Drago, K. Myszkowski, T. Annen, and N. Chiba, “Adaptive Logarithmic Mapping for Displaying High Contrast Scenes,” Computer Graphics Forum, vol. 22, no. 3, 2003.
[16] S.N. Pattanaik, J.A. Ferwerda, M.D. Fairchild, and D.P. Greenberg, “A Multiscale Model of Adaptation and Spatial Vision for Realistic Image Display,” SIGGRAPH '98 Conf. Proc., pp. 287-298, July 1998.
[17] M. Ashikhmin, “A Tone Mapping Algorithm for High Contrast Images,” Proc. 13th Eurographics Workshop Rendering, pp. 145-155, 2002.
[18] F. Drago, W.L. Martens, K. Myszkowski, and N. Chiba, “Design of a Tone Mapping Operator for High Dynamic Range Images Based upon Psychophysical Evaluation and Preference Mapping,” Proc. IS&T SPIE Electronic Imaging 2003. The Human Vision and Electronic Imaging VIII Conf., 2003.
[19] F. Durand and J. Dorsey, “Fast Bilateral Filtering for the Display of High-Dynamic-Range Images,” ACM Trans. Graphics, vol. 21, no. 3, pp. 257-266, 2002.
[20] P. Choudhury and J. Tumblin, “The Trilateral Filter for High Contrast Images and Meshes,” Proc. Eurographics Symp. Rendering, pp. 186-196, 2003.
[21] R. Fattal, D. Lischinski, and M. Werman, “Gradient Domain High Dynamic Range Compression,” ACM Trans. Graphics, vol. 21, no. 3, pp. 249-256, 2002.
[22] J.E. Dowling, The Retina: An Approachable Part of the Brain. Harvard Univ. Press, 1987.
[23] D.A. Baylor and M.G.F. Fuortes, “Electrical Responses of Single Cones in the Retina of the Turtle,” J. Physiology, vol. 207, pp. 77-92, 1970.
[24] J. Kleinschmidt and J.E. Dowling, “Intracellular Recordings from Gecko Photoreceptors during Light and Dark Adaptation,” J gen Physiology, vol. 66, pp. 617-648, 1975.
[25] K.I. Naka and W.A.H. Rushton, “S-Potentials from Luminosity Units in the Retina of Fish (Cyprinidae),” J. Physiology, vol. 185, pp. 587-599, 1966.
[26] R.A. Normann and I. Perlman, “The Effects of Background Illumination on the Photoresponses of Red and Green Cones,” J. Physiology, vol. 286, pp. 491-507, 1979.
[27] M.D. Fairchild, Color Appearance Models. Reading, Mass.: Addison-Wesley, 1998.
[28] N. Moroney, M.D. Fairchild, R.W.G. Hunt, C.J. Li, M.R. Luo, and T. Newman, “The CIECAM02 Color Appearance Model,” Proc. IS&T 10th Color Imaging Conf., pp. 23-27, 2002.
[29] Visual Perception: The Neurological Foundations, L. Spillmann and J.S. Werner, eds. San Diego, Calif.: Academic Press, 1990.
[30] D.C. Hood, M.A. Finkelstein, and E. Buckingham, “Psychophysical Tests of Models of the Response Function,” Vision Research, vol. 19, pp. 401-406, 1979.
[31] B. Baxter, H. Ravindra, and R.A. Normann, “Changes in Lesion Detectability Caused by Light Adaptation in Retinal Photoreceptors,” Invest Radiology, vol. 17, pp. 394-401, 1982.
[32] K. Chiu, M. Herf, P. Shirley, S. Swamy, C. Wang, and K. Zimmerman, “Spatially Nonuniform Scaling Functions for High Contrast Images,” Proc. Graphics Interface '93, pp. 245-253, May 1993.
[33] G. Wyszecki and W.S. Stiles, Color Science: Concepts and Methods, Quantitative Data and Formulae, second ed. New York: John Wiley & Sons, 1982.
[34] S.N. Pattanaik and H. Yee, “Adaptive Gain Control for High Dynamic Range Image Display,” Proc. Spring Conf. Computer Graphics (SCCG2002), 2002.
[35] G. Ward Larson and R.A. Shakespeare, Rendering with Radiance. Morgan Kaufmann, 1998.
[36] M.D. Fairchild and G.M. Johnson, “Meet iCAM: An Image Color Appearance Model,” Proc. IS&T/SID 10th Color Imaging Conf., pp. 33-38, 2002.
[37] Practical Parallel Rendering, A. Chalmers, E. Reinhard, and T. Davis, eds. A.K. Peters, 2002.
[38] R. Hunt, The Reproduction of Color, fifth ed. Fountain Press, 1996.
[39] CIE, “The CIE 1997 Interim Colour Appearance Model (Simple Version), CIECAM97s,” CIE Publication 131, Vienna, 1998.
[40] S. Daly, “The Visible Difference Predictor: An Algorithm for the Assessment of Image Fidelity,” Digital Images and Human Vision, A.B. Watson, ed., pp. 179-206, MIT Press, 1993.
[41] H. Rushmeier, G. Ward, C. Piatko, P. Sanders, and B. Rust, “Comparing Real and Synthetic Images: Some Ideas about Metrics,” Proc. Sixth Eurographics Workshop Rendering, pp. 213-222, June 1995.
[42] F. Drago, W.L. Martens, K. Myszkowski, and H.-P. Seidel, “Perceptual Evaluation of Tone Mapping Operators with Regard to Similarity and Preference,” Technical Report MPI-I-2002-4-002, Max Plank Institut für Informatik, 2002.

Index Terms:
Tone reproduction, dynamic range reduction, photoreceptor physiology.
Citation:
Erik Reinhard, Kate Devlin, "Dynamic Range Reduction Inspired by Photoreceptor Physiology," IEEE Transactions on Visualization and Computer Graphics, vol. 11, no. 1, pp. 13-24, Jan.-Feb. 2005, doi:10.1109/TVCG.2005.9
Usage of this product signifies your acceptance of the Terms of Use.