Abstract
Managing the appearance of images across different display environments is a difficult problem, exacerbated by the proliferation of high dynamic range imaging technologies. Tone reproduction is often limited to luminance adjustment and is rarely calibrated against psychophysical data, while color appearance modeling addresses color reproduction in a calibrated manner, albeit over a limited luminance range. Only a few image appearance models bridge the gap, borrowing ideas from both areas. Our take on scene reproduction reduces computational complexity with respect to the state-of-the-art, and adds a spatially varying model of lightness perception. The predictive capabilities of the model are validated against all psychophysical data known to us, and visual comparisons show accurate and robust reproduction for challenging high dynamic range scenes.
- Adams, A. 1983. The print. The Ansel Adams Photography series. Little, Brown and Company.Google Scholar
- Allred, S. R., Radonjić, A., Gilchrist, A. L., and Brainard, D. H. 2012. Lightness perception in high dynamic range images: Local and remote luminance effects. Journal of Vision 12, 2, 1--16.Google ScholarCross Ref
- Aydin, T., Mantiuk, R., Myszkowski, K., and Seidel, H. 2008. Dynamic range independent image quality assessment. ACM Transactions on Graphics 27, 69(1)--69(10). Google ScholarDigital Library
- Chiu, K., Herf, M., Shirley, P., Swamy, S., Wang, C., and Zimmerman, K. 1993. Spatially nonuniform scaling functions for high contrast images. In Proceedings of Graphics Interface '93, 245--253.Google Scholar
- Debevec, P. 2005. A median cut algorithm for light probe sampling. In ACM SIGGRAPH 2005 Posters, ACM, New York, NY, USA, SIGGRAPH '05. Google ScholarDigital Library
- Drago, F., Myszkowski, K., Annen, T., and Chiba, N. 2003. Adaptive logarithmic mapping for displaying high contrast scenes. Computer Graphics Forum 22, 3, 419--426.Google ScholarCross Ref
- Durand, F., and Dorsey, J. 2002. Fast bilateral filtering for the display of high-dynamic-range images. ACM Transactions on Graphics 21, 3, 257--266. Google ScholarDigital Library
- Fairchild, M. D., and Johnson, G. M. 2002. Meet iCAM: an image color appearance model. In IS&T/SID 10th Color Imaging Conference, 33--38.Google Scholar
- Fairchild, M. D. 2005. Color appearance models, 2nd ed. Addison-Wesley, Reading, MA.Google Scholar
- Fairchild, M. 2007. The HDR photographic survey. In Proceedings of the Fifteenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, and Applications, vol. 15, 233--238.Google Scholar
- Fattal, R., Lischinski, D., and Werman, M. 2002. Gradient domain high dynamic range compression. ACM Transactions on Graphics 21, 3, 249--256. Google ScholarDigital Library
- Ferwerda, J. A., Pattanaik, S., Shirley, P., and Greenberg, D. P. 1996. A model of visual adaptation for realistic image synthesis. In SIGGRAPH 96 Conference Proceedings, 249--258. Google ScholarDigital Library
- Fishman, G. A., and Sokol, S. 1990. Electrophysiological Testing in Disorders of the Retina, Optic Nerve, and Visual Pathway. American Academy of Ophthalmology, San Francisco.Google Scholar
- Gilchrist, A., and Radonjić, A. 2010. Frameworks of illumination revealed by probe disk technique. Journal of Vision 10, 5, 1--12.Google ScholarCross Ref
- Gilchrist, A., Kossyfidis, C., Bonato, F., Agostini, T., Cataliotti, J., Li, X., Spehar, B., Annan, V., and Economou, E. 1999. An anchoring theory of lightness perception. Psychol Rev. 106, 4 (Oct), 795--834.Google ScholarCross Ref
- Hood, D. C., Ilves, T., Maurer, E., Wandell, B., and Buckingham, E. 1978. Human cone saturation as a function of ambient intensity: A test of models of shifts in the dynamic range. Vision Research 18, 8, 983--993.Google ScholarCross Ref
- Hunt, R. W. G. 1996. The reproduction of color. Fountain Press, England. Fifth edition.Google Scholar
- Kim, M. H., Weyrich, T., and Kautz, J. 2009. Modeling human color perception under extended luminance levels. ACM Transactions on Graphics 28, 3, 27:1--9. Google ScholarDigital Library
- Kiser, C., Reinhard, E., Tocci, M., and Tocci, N. 2012. Real-Time automated tone mapping system for HDR video. In IEEE International Conference on Image Processing.Google Scholar
- Krawczyk, G., Mantiuk, R., Myszkowski, K., and Seidel, H. 2004. Lightness perception inspired tone mapping. In First ACM Symposium on Applied Perception in Graphics and Visualization (APGV), 172. Google ScholarDigital Library
- Kuang, J., Johnson, G. M., and Fairchild, M. D. 2007. icam06: A refined image appearance model for hdr image rendering. Journal of Visual Communication and Image Representation 18, 5, 406--414. Google ScholarDigital Library
- Kunkel, T., and Reinhard, E. 2009. A neurophysiology-inspired steady-state color appearance model. Journal of the Optical Society of America A 26, 776--782.Google ScholarCross Ref
- Lasansky, A. 1981. Synaptic action mediating cone responses to annular illumination in the retina of the larval tiger salamander. Journal of Physiology 310, 205--214.Google ScholarCross Ref
- Li, C., Luo, M. R., Rigg, B., and Hunt, R. W. G. 2002. CMC 2000 chromatic adaptation transform: CMCCAT2000. Color Research and Application 27, 1, 49--58.Google ScholarCross Ref
- Li, Y., Sharan, L., and Adelson, E. 2005. Compressing and companding high dynamic range images with subband architectures. ACM Transactions on Graphics 24, 3, 836--844. Google ScholarDigital Library
- Luo, M. R., Clark, A., Rhodes, P., Schappo, A., Scrivner, S., and Tait, C. 1991. Quantifying colour appearance: Part I. LUTCHI colour appearance data. Colour Research and Application 16, 166--180.Google ScholarCross Ref
- Mantiuk, R., Daly, S., and Kerofsky, L. 2008. Display adaptive tone mapping. ACM Trans. on Graphics 27, 3, 68. Google ScholarDigital Library
- Mantiuk, R., Mantiuk, R., Tomaszewska, A., and Heidrich, W. 2009. Color correction for tone mapping. Computer Graphics Forum 28, 2, pp. 193--202.Google ScholarCross Ref
- McCann, J. J., and Rizzi, A. 2012. The Art and Science of HDR Imaging. John Wiley and Sons, Chichester.Google Scholar
- Moon, P., and Spencer, D. E. 1944. Visual data applied to lighting design. Journal of the Optical Society of America 34, 10, 605--617.Google ScholarCross Ref
- Moroney, N., Fairchild, M. D., Hunt, R. W. G., Li, C. J., Luo, M. R., and Newman, T. 2002. The CIECAM02 color appearance model. In 10th Color Imaging Conference, 23--27.Google Scholar
- Morovič, J. 2008. Color Gamut Mapping. Wiley and Sons, Chichester, UK. Google ScholarDigital Library
- Myszkowski, K., Mantiuk, R., and Krawczyk, G. 2008. High Dynamic Range Video. Morgan and Claypool Publishers, San Rafael. Google ScholarDigital Library
- Pattanaik, S. N., Ferwerda, J. A., Fairchild, M. D., and Greenberg, D. P. 1998. A multiscale model of adaptation and spatial vision for realistic image display. In SIGGRAPH 98 Conference Proceedings, 287--298. Google ScholarDigital Library
- Radonjić, A., Allred, S. R., Gilchrist, A. L., and Brainard, D. H. 2011. The dynamic range of human lightness perception. Current Biology 21, 1391--1936.Google ScholarCross Ref
- Reinhard, E., and Devlin, K. 2005. Dynamic range reduction inspired by photoreceptor physiology. IEEE Transactions on Visualization and Computer Graphics 11, 1, 13--24. Google ScholarDigital Library
- Reinhard, E., Stark, M., Shirley, P., and Ferwerda, J. 2002. Photographic tone reproduction for digital images. ACM Transactions on Graphics 21, 3, 267--276. Google ScholarDigital Library
- Reinhard, E., Kunkel, T., Marion, Y., Brouillat, J., Cozot, R., and Bouatouch, K. 2007. Image display algorithms for high and low dynamic range display devices. Journal of the Society for Information Display 15, 12.Google ScholarCross Ref
- Reinhard, E., Khan, E. A., Akyüz, A. O., and Johnson, G. M. 2008. Color Imaging: Fundamentals and Applications. A K Peters, Wellesley. Google ScholarDigital Library
- Reinhard, E., Ward, G., Pattanaik, S., Debevec, P., Heidrich, W., and Myszkowski, K. 2010. High dynamic range imaging: Acquisition, display and image-based lighting, 2nd edition ed. Morgan Kaufmann Publishers, San Francisco.Google Scholar
- Schlick, C. 1994. Quantization techniques for the visualization of high dynamic range pictures. In Photorealistic Rendering Techniques, Springer-Verlag Berlin Heidelberg New York, P. Shirley, G. Sakas, and S. Müller, Eds., 7--20.Google Scholar
- Seetzen, H., Heidrich, W., Stuerzlinger, W., Ward, G., Whitehead, L., Trentacoste, M., Ghosh, A., and Vorozcovs, A. 2004. High dynamic range display systems. ACM Trans. on Graphics 23, 3. Google ScholarDigital Library
- Stidwill, D., and Fletcher, R. 2011. Normal Binocular Vision: Theory, Investigation and Practical Aspects. Wiley-Blackwell, Chichester.Google Scholar
- Tocci, M. D., Kiser, C., Tocci, N., and Sen, P. 2011. A Versatile HDR Video Production System. ACM Transactions on Graphics (TOG) (Proceedings of SIGGRAPH 2011) 30, 4. Google ScholarDigital Library
- Tumblin, J., and Rushmeier, H. 1993. Tone reproduction for computer generated images. IEEE Computer Graphics and Applications 13, 6, 42--48. Google ScholarDigital Library
- van Hateren, J. H. 2006. Encoding of high dynamic range video with a model of human cones. ACM Transactions on Graphics 25, 4, 1380--1399. Google ScholarDigital Library
- Ward, G., Rushmeier, H., and Piatko, C. 1997. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics 3, 4, 291--306. Google ScholarDigital Library
Index Terms
- Calibrated image appearance reproduction
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