Predicting visible differences in high dynamic range images - Model and its calibration

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5666, Issue , 2005, Pages 204-214

  Mantiuk, Rafal ^a   Daly, Scott ^b   Myszkowski, Karol ^a   Seidel, Hans Peter ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b SHARP LABORATORIES OF AMERICA   (United States)

Author keywords

Contrast sensitivity; CSF; HDR; High dynamic range; Local adaptation; OTF; Perception; PSF; Tvi; VDP; Visual difference metric

Indexed keywords

COLORIMETRIC ANALYSIS; FREQUENCIES; IMAGE QUALITY; LIGHT SCATTERING; LIQUID CRYSTAL DISPLAYS; MATHEMATICAL MODELS; SENSORY PERCEPTION;

CONTRAST SENSITIVITY; CSF; HIGH DYNAMIC RANGE (HDR); LOCAL ADAPTATION; OTF; PSF; TVI; VISUAL DIFFERENCE METRIC;

VISIBILITY;

EID: 21944433893     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.586757     Document Type: Conference Paper

References (32)

1. M. Robertson, S. Borman, and R. Stevenson, "Dynamic range improvement through multiple exposures," in Proceedings of the 1999 International Conference on Image Processing (ICIP-99), pp. 159-163, (Los Alamitos, CA), Oct. 24-28 1999.
2. K. Devlin, A. Chalmers, A. Wilkie, and W. Purgathofer, "Tone Reproduction and Physically Based Spectral Rendering," in Eurographics 2002: State of the Art Reports, pp. 101-123, Eurographics, 2002.
3. F. Drago, W. 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, http://domino.mpi-sb.mpg. de/internet/reports.nsf/AG4NumberView?OpenView, Max-Planck-Institut fuer Informatik, Oct. 2002.
4. J. Kuang, H. Yamagishi, G. Johnson, and M. Fairchild, "Testing hdr rendering algorithms," in IS&T/SID Color Imaging Conference, pp. 315-320, 2004.
5. H. Seetzen, W. Heidrich, W. Stuerzlinger, G. Ward, L. Whitehead, M. Trentacoste, A. Ghosh, and A. Vorozcovs, "High dynamic range display systems," ACM Transactions on Graphics 23(3), pp. 757-765, 2004.
6. G. Ward, "Real pixels," Graphics Gems II, pp. 80-83, 1991.
7. G. Ward Larson, "Logluv encoding for full-gamut, high-dynamic range images," Journal of Graphics Tools 3(1), pp. 815-30, 1998.
8. R. Bogart, F. Kainz, and D. Hess, "OpenEXR image file format," in ACM SIGGRAPH 2003, Sketches & Applications, 2003.
9. G. Ward and M. Simmons, "Subband encoding of high dynamic range imagery," in Proceedings of the 1st Symposium on Applied Perception in Graphics and Visualization, 2004.
10. R. Mantiuk, G. Krawczyk, K. Myszkowski, and H.-P. Seidel, "Perception-motivated high dynamic range video encoding," ACM Transactions on Graphics 23(3), pp. 730-738, 2004.
11. M. Nadenau, Integration of Human color vision Models into High Quality Image Compression. PhD thesis, École Polytechnique Fédéral Lausane, 2000.
12. P. Barten, "Subjective image quality of high-definition television pictures," in Proc. of the Soc. for Inf. Disp., 31, pp. 239-243, 1990.
13. S. Daly, "The Visible Differences Predictor: An algorithm for the assessment of image fidelity," in Digital Image and Human Vision, A. Watson, ed., pp. 179-206, Cambridge, MA: MIT Press, 1993.
14. D. Heeger and P. Teo, "A model of perceptual image fidelity," in Proc. of IEEE Int'l Conference Image Processing, pp. 343-345, 1995.
15. J. Lubin, "A visual discrimination model for imaging system design and evaluation," in Vis. Models for Target Detection, pp. 245-283, 1995.
16. C. Taylor, Z. Pizlo, J. P. Allebach, and C. Bouman, "Image quality assessment with a Gabor pyramid model of the Human Visual System," in Hum. Vis. and Elect. Imaging, pp. 58-69, SPIE Vol. 3016, 1997.
17. Z. Wang and A. Bovik, "A universal image quality index," IEEE Signal Processing Letters 9(3), pp. 81-84, 2002.
18. C. Zetzsche and G. Hauske, "Multiple channel model for the prediction of subjective image quality," in Human Vision, Visual Processing, and Digital Display, pp. 209-216, SPIE Vol. 1077, 1989.
19. M. Ramasubramanian, S. N. Pattanaik, and D. P. Greenberg, "A perceptually based physical error metric for realistic image synthesis," in Proceedings of the 26th annual conference on Computer graphics and interactive techniques, pp. 73-82, ACM Press/Addison-Wesley Publishing Co., 1999.
20. B. Li, G. Meyer, and R. Klassen, "A comparison of two image quality models," in Human Vision and Electronic Imaging III, pp. 98-109, SPIE Vol. 3299, 1998.
21. R. Mantiuk, K. Myszkowski, and H.-P. Seidel, "Visible difference predicator for high dynamic range images," in Proceedings of IEEE International Conference on Systems, Man and Cybernetics, pp. 2763-2769, 2004.
22. R. Deeley, N. Drasdo, and W. N. Charman, "A simple parametric model of the human ocular modulation transfer function," Ophthalmology and Physiological Optics 11, pp. 91-93, 1991.
23. P. Moon and D. Spencer, "Visual data applied to lighting design," J. Opt. Soc. Am. 34(605), 1944.
24. M. Ashikhmin, "A tone mapping algorithm for high contrast images," in Rendering Techniques 2002: 13th Eurographics Workshop on Rendering, pp. 145-156, 2002.
25. D. Hood and M. Finkelstein, "Sensitivity to light," in Handbook of Perception and Human Performance: 1. Sensory Processes and Perception, K. Boff, L. Kaufman, and J. Thomas, eds., 1, Wiley, (New York), 1986.
26. "Part 14: Grayscale standard display function," in Digital Imaging and Communications in Medicine (DICOM), 2001.
27. J. Ferwerda, S. Pattanaik, P. Shirley, and D. Greenberg, "A model of visual adaptation for realistic image synthesis," in Proceedings of SIGGRAPH 96, Computer Graphics Proceedings, Annual Conference Series, pp. 249-258, Aug. 1996.
28. 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.
29. H. Yee and S. Pattanaik, "Segmentation and adaptive assimilation for detail-preserving display of high-dynamic range images," The Visual Computer 19, pp. 457-466, 2003.
30. F. Durand and J. Dorsey, "Fast bilateral filtering for the display of high-dynamic-range images," in Proceedings of the 29th annual conference on Computer graphics and interactive techniques, pp. 257-266, 2002.
31. E. W. Jin, X.-F. Feng, and J. Newell, "The development of a color visual difference model (CVDM)," in IS&T's 1998 Image Processing, Image Quality, Image Capture, Systems Conf., pp. 154-158, 1998.
32. D. Marimont and B. Wandell, "Matching colour images: the effects of axial chromatic aberration," J. Opt. Soc. Am. A 11(12), pp. 2113-3122, 1994.