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Evaluation of HDR tone mapping methods using essential perceptual attributes

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Cadik, Martin, Wimmer, Michael, Neumann, Laszlo and Artusi, Alessandro. (2008) Evaluation of HDR tone mapping methods using essential perceptual attributes. Computers & Graphics, Vol.32 (No.3). pp. 330-349. ISSN 0097-8493

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.cag.2008.04.003

Abstract

The problem of reproducing high dynamic range images on media with restricted dynamic range has gained a lot of interest in the computer graphics community. There exist various approaches to this issue, which span several research areas including computer graphics, image processing color vision,, physiological aspects, etc. These approaches assume a thorough knowledge of both the objective and subjective attributes of an image. However, no comprehensive overview and analysis of such attributes has been published so far. In this contribution, we present an overview about the effects of basic image attributes in high dynamic range tone mapping. Furthermore, we propose a scheme of relationships between these attributes, leading to the definition of an overall image quality measure. We present results of subjective psychophysical experiments that we have performed to prove the proposed relationship scheme. Moreover, we also present an evaluation of existing tone mapping methods (operators) with regard to these attributes. Finally, the execution of with reference and without a real reference perceptual experiments gave us the opportunity to relate the obtained subjective results. Our effort is notjust useful to get into the tone mapping field or when implementing a tone mapping method, but it also sets the stage for well-founded quality comparisons between tone mapping methods. By providing good definitions of the different attributes, user-driven or fully automatic comparisons are made possible. (c) 2008 Elsevier Ltd. All rights reserved.

Item Type: Journal Article
Subjects: B Philosophy. Psychology. Religion > BF Psychology
Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TR Photography
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): High dynamic range imaging, Computer vision, Visual perception, Psychophysics, Image processing -- Digital techniques
Journal or Publication Title: Computers & Graphics
Publisher: Pergamon
ISSN: 0097-8493
Date: June 2008
Volume: Vol.32
Number: No.3
Number of Pages: 20
Page Range: pp. 330-349
Identification Number: 10.1016/j.cag.2008.04.003
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Czech Republic. Ministerstvo školství, mládeže a tělovýchovy [Ministry of Education, Youth, and Sport], Kontakt OE/CZ, Cyprus. Research Promotion Foundation (RPF), Fonds zur Förderung der Wissenschaftlichen Forschung (Austria) (FWF)
Grant number: MSM 6840770014 (MSMT CR), LC-06008 (MSMT CR), 2004/20 (Kontakt), PLHRO/1104/21 (RPF), P17261-N04 (FWF)
References: [1] Devlin K, Chalmers A, Wilkie A, Purgathofer W. Star: tone reproduction and physically based spectral rendering. In: Fellner D, Scopignio R, editors. State of the art reports, eurographics 2002. The Eurographics Association; 2002. p. 101–23. [2] Reinhard E, Ward LG, Pattanaik S, Debevec P. High dynamic range imaging: acquisition, display, and image-based lighting. Los Altos, CA: Morgan Kaufmann; 2005. [3] Cˇ adı´k M, Slavı´k P. The naturalness of reproduced high dynamic range images. In: Proceedings of the ninth international conference on information visualisation, Los Alamitos: IEEE Computer Society; 2005. p. 920–5. [4] Drago F, Martens WL, Myszkowski K, Seidel, H-P. Perceptual evaluation of tone mapping operators. In: Proceedings of the SIGGRAPH 2003 conference on sketches & applications, GRAPH ’03, New York, NY, USA: ACM Press; 2003. p. 1. [5] Yoshida A, Blanz V, Myszkowski K, Seidel, H-P. Perceptual evaluation of tone mapping operators with real-world scenes. Human Vision & Electronic Imaging X, San Jose, CA, USA: SPIE;2005. p. 192–203. [6] Kuang J, Yamaguchi H, Johnson GM, Fairchild MD. Testing HDR image rendering algorithms. In: Color imaging conference. 2004. p. 315–20. [7] Kuang, J, Johnson, GM, Fairchild MD. Image preference scaling for HDR image rendering. In: Thirteenth color imaging conference. Scottsdale, Arizona. 2005. p. 8–13. [8] Kuang J, Liu C, Johnson, GM, Fairchild MD. Evaluation of HDR image rendering algorithms using real-world scenes. In: International congress of imaging science, ICIS0´ 6. 2006. [9] Durand F, Dorsey J. Fast bilateral filtering for the display of high-dynamicrange images. In: Proceedings of the 29th annual conference on computer graphics and interactive techniques. New York, NY, USA: ACM Press; 2002. p. 257–66. [10] Kuang J, Yamaguchi H, Liu C, Johnson GM, Fairchild MD. Evaluating HDR rendering algorithms. ACM Transactions on Applied Perception 2007;4(2):9. [11] Ashikhmin M, Goyal J. A reality check for tone-mapping operators. ACM Transactions on Applied Perception 2006;3(4):399–411. [12] Ledda P, Chalmers A, Troscianko T, Seetzen H. Evaluation of tone mapping operators using a high dynamic range display. In: Proceedings of the 32nd annual conference on computer graphics and interactive techniques, SIGGRAPH ’05. ACM Press; 2005, p. 640–8. [13] Yoshida A, Mantiuk R, Myszkowski K, Seidel H-P. Analysis of reproducing realworld appearance on displays of varying dynamic range. Computer Graphics Forum 2006;25(3):415–26. [14] Akyu¨ z AO, Fleming R, Riecke BE, Reinhard E, Bu¨ lthoff HH. Do HDR displays support LDR content? A psychophysical evaluation. ACM Transactions on Graphics 2007;26(3). [15] Janssen R, Computational image quality. Society of Photo-Optical Instrumentation Engineers (SPIE), 2001. [16] Rogowitz BE, Frese T, Smith, JR, Bouman, CA, Kalin, EB. Perceptual image similarity experiments. In: Rogowitz BE, Pappas TN, editors. Proceedings of the SPIE, human vision and electronic imaging III, vol. 3299. 1998, p. 576–90. [17] Fedorovskaya E, de Ridder H, Blommaert F. Chroma variations and perceived quality of color images of natural scenes. Color Research & Application 1997;22(2):96–110. [18] Savakis A, Etz S, Loui A, et al. Evaluation of image appeal in consumer photography. Proceedings of the SPIE 2000;3959:111–20. [19] Jobson D, Rahman Z, Woodell G. The statistics of visual representation. In: Rahman Z, Schowengerdt RA, Reichenbach SE, editors. Visual information processing XI, 2002, p. 25–35. [20] Mantiuk R, Seidel HP. Modeling a generic tone-mapping operator. Computer Graphics Forum 2008;27(2), in press. [21] Cˇadı´k M, Wimmer M, Neumann L, Artusi A. Image attributes and quality for evaluation of tone mapping operators. In: Proceedings of pacific graphics 2006. Taipei, Taiwan: National Taiwan University Press; 2006. p. 35–44. [22] Neumann L, Neumann A. Gradient domain imaging. First EG workshop on computational aesthetics in graphics, imaging and visualization, 2005. [23] Adelson EH. Lightness perception and lightness illusions. In: Gazzaniga M, editor. The cognitive neurosciences. Cambridge, MA: MIT Press; 1999. p. 339–51. [24] Wyszecki G, Stiles WS. Color science, concepts and methods: quantitative data and formulae. 2nd ed. New York: Wiley; 1982 ISBN 0-471-02106-7. [25] Fairchild MD. Color appearance models. 2nd ed. Chichester, UK: Wiley-IS&T; 2005. [26] Tumblin J, Rushmeier H. Tone reproduction for realistic images. IEEE Computers Graphics and Applications 1993;13(6):42–8. [27] Krawczyk G, Myszkowski K, Seidel, H-P. Computational model of lightness perception in high dynamic range imaging. In: Rogowitz BE, Pappas TN, Daly SJ, editors. Human vision and electronic imaging XI, IS&T/SPIE’s 18th annual symposium on electronic imaging (2006). 2006. p. 1–12. [28] Winkler S. Vision models and quality metrics for image processing applications, PhD thesis, EPFL, December 2000. [29] Matkovic K, Neumann L, Neumann A, Psik T, Purgathofer W. Global contrast factor—a new approach to image contrast. In: Neumann L, Sbert M, Gooch B, Purgathofer W, editors. Computational aesthetics in graphics, visualization and imaging 2005. Eurographics Association; 2005. p. 159–68. [30] Ward LG. A contrast-based scalefactor for luminance display. Graphics Gems 1994;IV:415–21. [31] CIE, An analytical model for describing the influence of lighting parameters upon visual performance. vol. 1: technical foundations. CIE 19/2.1. International organization for standardization, 1981. [32] Ferwerda JA, Pattanaik SN, Shirley P, Greenberg DP. A model of visual adaptation for realistic image synthesis. Computer Graphics 1996;30:249–58 (Annual Conference Series). [33] Ward LG, Rushmeier H, Piatko C. A visibility matching tone reproduction operator for high dynamic range scenes. IEEE Transactions on Visualization and Computer Graphics 1997;3(4):291–306. [34] Reinhard E, Stark M, Shirley P, Ferwerda J. Photographic tone reproduction for digital images. In: Proceedings of the 29th annual conference on computer graphics and interactive techniques. ACM Press; 2002. p. 267–76. [35] Ashikhmin M. A tone mapping algorithm for high contrast images. In: 13th eurographics workshop on rendering. Eurographics Association; 2002. p. 145–56. [36] Peli E. Contrast in complex images. Journal of the Optical Society of America A 1990;7(10):2032–40. [37] Mantiuk R, Myszkowski K, Seidel H-P. A perceptual framework for contrast processing of high dynamic range images. In: Proceedings of the 2nd symposium on applied perception in graphics and visualization, APGV ’05, New York, NY, USA: ACM Press; 2005. p. 87–94. [38] Fattal R, Lischinski D, Werman M. Gradient domain high dynamic range compression. In: Proceedings of the 29th annual conference on computer graphics and interactive techniques. New York, NY, USA: ACM Press; 2002. p. 249–56. [39] Pattanaik SN, Ferwerda JA, Fairchild MD, Greenberg DP. A multiscale model of adaptation and spatial vision for realistic image display. In: Proceedings of the 25th annual conference on computer graphics and interactive techniques. New York, NY, USA: ACM Press; 1998. p. 287–98. [40] Reinhard E, Devlin K. Dynamic range reduction inspired by photoreceptor physiology. IEEE Transactions on Visualization and Computer Graphics 2005;11(1):13–24. [41] Tumblin J, Turk G. Low curvature image simplifiers (LCIS). In: SIGGRAPH 99 conference proceedings. Annual conference series. Reading, MA: Addison Wesley; 1999. pp. 83–90. [42] Choudhury P, Tumblin J. The trilateral filter for high contrast images and meshes. In: Proceedings of the 14th eurographics workshop on rendering, eurographics association, EGRW ’03, 2003. p. 186–96. [43] Chiu K, Herf M, Shirley P, Swamy S, Wang C, Zimmerman K. Spatially nonuniform scaling functions for high contrast images. In: Proceedings of graphics interface ’93. 1993. p. 245– 53. [44] Schlick C. An adaptive sampling technique for multidimensional ray tracing. In: Brunet P, Jansen FW, editors. Photorealistic rendering in computer graphics. Berlin: Springer; 1994. p. 21–9. [45] Spencer G, Shirley P, Zimmerman K, Greenberg DP. Physically-based glare effects for digital images. In: Proceedings of the 22nd annual conference on computer graphics and interactive techniques. ACM Press; 1995. p. 325–34. [46] Calabria AJ, Fairchild MD. Perceived image contrast and observer preference I: the effects of lightness, chroma, and sharpness manipulations on contrast perception. Journal of Imaging Science & Technology 2003;47:479–93. [47] Debevec PE, Malik J. Recovering high dynamic range radiance maps from photographs. In: Whitted T, editor. SIGGRAPH 97 conference proceedings. Annual conference series, vol. 31 ACM SIGGRAPH, Reading, MA: Addison Wesley; 1997. p. 369–78. ISBN 0-89791-896-7. [48] Drago F, Myszkowski K, Annen T, Chiba N. Adaptive logarithmic mapping for displaying high contrast scenes. Computer Graphics Forum 2003;22(3). [49] Pattanaik S, Yee H. Adaptive gain control for high dynamic range image display. In: Proceedings of 18th spring conference on computer graphics, ACM Press; SCCG ’02: 2002. p. 83–7. [50] Tumblin J, Hodgins JK, Guenter BK. Two methods for display of high contrast images. ACM Transactions on Graphics 1999;18(1):56–94. [51] Thurstone LL. A law of comparative judgement. Psychological Review 1927;34:278–86. [52] Torgerson WS. Theory and methods of scaling. New York, NY, USA: Wiley; 1958. [53] Siegel S, Castellan NJ. Nonparametric statistics for the behavioral sciences. 2nd ed. London: McGraw-Hill; 1988. [54] Lehmacher W, Wall KD. A new nonparametric approach to the comparison of k independent samples of response curves. Biometrical Journal 1978;20:261–73. [55] Rencher AC. Methods of multivariate analysis. 2nd Ed. Wiley series in probability and statistics, 2002. [56] Anderson MJ, ter Braak CJF. Permutation tests for multi-factorial analysis of variance. Journal of Statistical Computation and Simulation 2003;73:85–113. [57] Tabachnick BG, Fidell LS. Using multivariate statistics. 5th ed. Pearson Education, Inc.; 2007. [58] Fairchild MD, Johnson GM, Kuang J, Yamaguchi H. Image appearance modeling and high-dynamic-range image rendering. In: Proceedings of the 1st symposium on applied perception in graphics and visualization, APGV ’04, New York, NY, USA: ACM; 2004. p. 171. [59] Cˇadı´k M. Perception motivated hybrid approach to tone mapping. In: Proceedings of WSCG (Full Papers). 2007. p. 129–36.
URI: http://wrap.warwick.ac.uk/id/eprint/29649

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