Luminosity thresholds: Effects of test chromaticity and ambient illumination

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 13, Issue 3, 1996, Pages 436-451

  Speigle, Jon M ^a   Brainard, David H ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BIOLOGICAL MODEL; COLOR; HUMAN; ILLUMINATION; LIGHT; MALE; PERCEPTIVE THRESHOLD;

COLOR; HUMANS; LIGHT; LIGHTING; MALE; MODELS, BIOLOGICAL; SENSORY THRESHOLDS;

EID: 0030097332     PISSN: 10847529     EISSN: 15208532     Source Type: Journal    
DOI: 10.1364/JOSAA.13.000436     Document Type: Article

References (47)

1. D. H. Brainard, B. A. Wandell, and E.-J. Chichilnisky, “Color constancy: from physics to appearance,” Curr. Dir. Psychol. Sci. 2, 165–170 (1993).
2. K. Buhler, “Gegenbemerkungen,” Psychol. Forsch. 5, 182–188 (1924), as discussed in Ref. 3.
3. G. Kreezer, “Luminous appearances,” J. Gen. Psychol. 4, 247–281 (1930).
4. R. M. Evans, “Fluorescence and gray content of surface colors,” J. Opt. Soc. Am. 49, 1049–1059 (1959).
5. R. M. Evans, “Variables of perceived color,” J. Opt. Soc. Am. 54, 1467–1474 (1964).
6. R. M. Evans and B. K. Swenholt, “Chromatic strength of colors: dominant wavelength and purity,” J. Opt. Soc. Am. 57, 1319–1324 (1967).
7. R. M. Evans and B. K. Swenholt, “Chromatic strength of colors. Part II. The Munsell system,” J. Opt. Soc. Am. 58, 580–584 (1968).
8. R. M. Evans and B. K. Swenholt, “Chromatic strength of colors. III. Chromatic surrounds and discussion,” J. Opt.Soc. Am. 59, 628–634 (1969).
9. S. Ullman, “On visual detection of light sources,” Biol. Cybern. 21, 205–212 (1976).
10. F. Bonato and A. L. Gilchrist, “The perception of luminosity on different backgrounds and in different illuminations,” Perception 23, 991–1006 (1994).
11. M. Ikeda, K. Motonaga, N. Matsuzawa, and T. Ishida, “Threshold determination for unnatural color appearance with local illumination,” Kogaku 22, 289–298 (1993).
12. M. Ikeda, S. Fukumura, N. Matsuzawa, and T. Ishida, “Influence of surrounding visual information on the recognition threshold of local illumination,” Kogaku 23, 42–49 (1994).
13. D. L. MacAdam, Color Measurement: Theme and Variations (Springer-Verlag, New York, 1981).
14. D. Judd and G. Wyszecki, Color in Business, Science, and Industry (Wiley, New York, 1975).
15. R. N. Shepard, “The perceptual organization of colors: an adaptation to regularities of the terrestrial world?” in The Adapted Mind: Evolutionary Psychology and the Genera tion of Culture, J. H. Barkow, L. Cosmides, and J. Tooby, eds. (Oxford U. Press, New York, 1992).
16. CIE, Colorimetry, 2nd ed. (Bureau Central de la CIE, Paris, 1986).
17. D. H. Brainard, “Colorimetry,” in Handbook of Optics: Vol. 1. Fundamentals, Techniques, and Design, M. Bass, ed. (McGraw-Hill, New York, 1995).
18. J. M. Speigle and D. H. Brainard, “Fluorescence thresholds depend on the illumination,” Invest. Ophthalmol. Vis. Sci. Suppl. 35, 1656 (1994).
19. L. T. Maloney and B. Wandell, “A computational model of color constancy,” Invest. Ophthalmol. Vis. Suppl. 26, 206 (1985).
20. M. D’Zmura and G. Iverson, “Color constancy. I. Basic theory of two-stage linear recovery of spectral descriptions for lights and surfaces,” J. Opt. Soc. Am. A 10,2148-2165 (1993).
21. E. Hering, “Der Raumsinn und die Bewegungen des Auges,” in Handbuch der Physiologie, B. L. Hermann, ed. (Vogel, Leipzig, 1879), Vol. 3, Part 1, as discussed in Ref. 3 above.
22. D. L. MacAdam, “The theory of the maximum visual efficiency of colored materials,” J. Opt. Soc. Am. 25, 249–252 (1935).
23. A. L. Gilchrist, S. Delman, and A. Jacobsen, “The classification and integration of edges as critical to the perception of reflectance and illumination,” Percept. Psychophys. 33, 425–436 (1983).
24. A. L. Gilchrist, “Lightness contrast and failures of constancy: a common explanation,” Percept. Psychophys. 43, 415–424 (1988).
25. G. Buchsbaum, “A spatial processor model for object colour perception,” J. Franklin Inst. 310, 1–26 (1980).
26. D. H. Brainard and W. T. Freeman, “Bayesian method for recovering surface and illuminant properties from photoreceptor responses,” in Human Vision, Visual Processing, and Digital Display V, B. E. Rogowitz and J. P. Allebach, eds., Proc. Soc. Photo-Opt. Instrum. Eng. 2179, 364–376 (1994).
27. D. Forsyth, “A novel algorithm for color constancy,” Int. J. Comput. Vision 5, 5–36 (1990).
28. G. D. Finlayson, “Color constancy in diagonal chromatic- ity space,” in Proceedings of the 5th International Conference on Computer Vision (IEEE, Cambridge, Mass., 1995), pp. 218–223.
29. M. D’Zmura, G. Iverson, and B. Singer, “Probabilistic color constancy,” in Geometric Representations of Perceptual Phenomena: Papers in Honor of Tarow Indow’s 70th Birthday, R. D. Luce, M. D’Zmura, D. Hoffman, G. Iverson, and A. K. Romney, eds., (Erlbaum, Hillsdale, N.J., 1995).
30. J. Cohen, “Dependency of the spectral reflectance curves of the Munsell color chips,” Psychon. Sci. 1, 369–370 (1964).
31. D. B. Judd, D. L. MacAdam, and G. W. Wyszecki, “Spectral distribution of typical daylight as a function of correlated color temperature,” J. Opt. Soc. Am. 54, 1031–1040 (1964).
32. K. L. Kelly, K. S. Gibson, and D. Nickerson, “Tristimulus specification of the Munsell Book of Color from spectrophoto- metric measurements,” J. Opt. Soc. Am. 33, 355–376 (1943).
33. D. Nickerson, “Spectrophotometric data for a collection of Munsell samples” (U.S. Department of Agriculture, Washington, D.C., 1957; available from Munsell Color Company, Baltimore, Md.).
34. V. Smith and J. Pokorny, “Spectral sensitivity of the foveal cone photopigments between 400 and 500 nm,” Vision Res. 15, 161–171 (1975).
35. P. DeMarco, J. Pokorny, and V. C. Smith, “Full-spectrum cone sensitivity functions for X-chromosome-linked anomalous trichromats,” J. Opt. Soc. Am. A 9, 1465–1476 (1992).
36. F. G. Ashby and W. W. Lee, “Predicting similarity and categorization from identification,” J. Exp. Psychol. Gen. 120, 150–172 (1991).
37. D. H. Brainard and B. A. Wandell, “Asymmetric color- matching: how color appearance depends on the illuminant,” J. Opt. Soc. Am. A 9, 1433–1448 (1992).
38. E. Schrodinger, “Theorie der pigmente von grosster Leuchtkraft,” Ann. Phys. 62, 603–622 (1920), as discussed in Ref. 50 below.
39. S. Rosch, “Die Kennzeichnung der Farben,” Phys. Z. 29, 83–91 (1928), as discussed in Ref. 50 below.
40. G. Wyszecki and W. S. Stiles, Color Science—Concepts and Methods, Quantitative Data and Formulae, 2nd ed. (Wiley, New York, 1982).
41. M. Richter and K. Witt, “The story of the DIN color system,” Color Res. Appl. 11,138-145 (1986).
42. M. R. Pointer, “The gamut of real surface colours,” Color Res. Appl. 5, 145–155 (1980).
43. W. T. Freeman and D. H. Brainard, “Bayesian decision theory, the local mass estimate, and color constancy,” in Proceedings of the 5th International Conference on Computer Vision (IEEE, Cambridge, Mass., 1995), pp. 210–217.
44. D. Marr, Vision, (Freeman, San Francisco, 1982).
45. J. Little and C. Moler, matlab User’s Guide (The Math- Works, Natick, Mass., 1991).
46. A. Grace, Optimization Toolbox for Use with MATLAB User’s Guide (The MathWorks, Natick, Mass., 1990).
47. G. Wyszecki, “Color Appearance,” in Handbook of Perception and Human Performance, K. R. Boff, L. Kaufman, and J. P. Thomas, eds. (Wiley, New York, 1986).