OSA's Digital Library

Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Editor: Franco Gori
  • Vol. 31, Iss. 8 — Aug. 1, 2014
  • pp: 1773–1781

Scaling perceived saturation

R. Cao, M. Castle, W. Sawatwarakul, M. Fairchild, R. Kuehni, and R. Shamey  »View Author Affiliations


JOSA A, Vol. 31, Issue 8, pp. 1773-1781 (2014)
http://dx.doi.org/10.1364/JOSAA.31.001773


View Full Text Article

Enhanced HTML    Acrobat PDF (690 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations

Abstract

Two psychophysical experiments were conducted at North Carolina State University (NCSU) and Rochester Institute of Technology (RIT) to obtain replicated perceived saturation data from color normal observers on the order of one unit of saturation. The same 37 Munsell sample sheets, including up to four references that had similar perceived saturation but different hue, were used in both experiments. Different assessment methods included presenting either four references simultaneously or only one reference at a time to observers and obtaining judged saturation magnitudes for the given Munsell samples. Four saturation models comprising Sab*, Suv*, CIECAM02, as well as Richter/Lübbe, were tested. CIECAM02 gave the best prediction of saturation for data obtained at NCSU while Sab* outperformed other models for the RIT data. For the combined dataset, Sab*, the Richter/Lübbe, and CIECAM02-based saturation models exhibited comparable performances. The Standardized Residual Sum of Squares index was used to measure the inter- and intra-observer variability and goodness of fit. Inter- and intra-observer variability of assessments was smaller than or comparable to those reported for the typical color difference evaluation experiments.

© 2014 Optical Society of America

OCIS Codes
(330.1710) Vision, color, and visual optics : Color, measurement
(330.1730) Vision, color, and visual optics : Colorimetry
(330.5020) Vision, color, and visual optics : Perception psychology

ToC Category:
Vision, Color, and Visual Optics

History
Original Manuscript: April 9, 2014
Manuscript Accepted: June 21, 2014
Published: July 23, 2014

Citation
R. Cao, M. Castle, W. Sawatwarakul, M. Fairchild, R. Kuehni, and R. Shamey, "Scaling perceived saturation," J. Opt. Soc. Am. A 31, 1773-1781 (2014)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-31-8-1773


Sort:  Author  |  Year  |  Journal  |  Reset  

References

  1. R. W. G. Hunt, “The specification of colour appearance. I. Concepts and terms,” Color Res. Appl. 2, 55–68 (1977). [CrossRef]
  2. I. Newton, Opticks (Smith and Walford, 1704), p. 117.
  3. H. v. Helmholtz, Handbuch der Physiologischen Optik (Leopold Voss, 1867), p. 283.
  4. M. Richter, I. Schmidt, and A. Dresler, Grundriss der Farbenlehre der Gegenwart (Steinkopff, 1940).
  5. D. L. MacAdam, “Projective transformations of I. C. I. color specifications,” J. Opt. Soc. Am. 27, 294–297 (1937).
  6. D. B. Judd, “A Maxwell triangle yielding uniform chromaticity scales,” J. Opt. Soc. Am. 25, 24–35 (1935). [CrossRef]
  7. CIE, “A colour appearance model for colour management systems: CIECAM02,” CIE Publication 159 (CIE Central Bureau, 2004).
  8. E. Lübbe, “Sättigung im CIELAB-Farbsystem und LSh-Farbsystem,” Ph.D. dissertation (Technische Universität Ilmenau, 2011).
  9. L. Y. G. Juan and M. R. Luo, “Magnitude estimation for scaling saturation,” Proc. SPIE 4421, 575–578 (2002). [CrossRef]
  10. http://www.vcsconsulting.co.uk/home.html , retrieved 4/8/2014.
  11. P. A. Garcia, R. Huertas, M. Melgosa, and G. Cui, “Measurement of the relationship between perceived and computed color differences,” J. Opt. Soc. Am. A 24, 1823–1829 (2007). [CrossRef]
  12. M. Melgosa, P. A. García, L. Gómez-Robledo, R. Shamey, D. Hinks, G. Cui, and M. R. Luo, “Notes on the application of the standardized residual sum of squares index for the assessment of intra- and inter-observer variability in color-difference experiments,” J. Opt. Soc. Am. A 28, 949–953 (2011). [CrossRef]
  13. http://danielsoper.com/statcalc3/calc.aspx?id= , retrieved 4/8/2014.
  14. E. Kirchner and N. Dekker, “Performance measures of color-difference equations: correlation coefficient versus standardized residual sum of squares,” J. Opt. Soc. Am. A 28, 1841–1848 (2011). [CrossRef]
  15. M. R. Luo and B. Rigg, “Chromaticity-discrimination ellipses for surface colours,” Color Res. Appl. 11, 25–42 (1986). [CrossRef]
  16. R. Berns, D. H. Alman, L. Reniff, G. D. Snyder, and M. R. Balonon-Rosen, “Visual determination of suprathreshold color-difference tolerances using probit analysis,” Color Res. Appl. 16, 297–316 (1991). [CrossRef]

Cited By

Alert me when this paper is cited

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.


« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited