Journal of the Optical Society of Korea

Optical Society of Korea (한국광학회)
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Measuring of the Perceptibility and Acceptability in Various Color Quality Measures

  • Received : 2011.05.31
  • Accepted : 2011.08.01
  • Published : 2011.09.25
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Abstract

Perceptibility and acceptability are the most often used threshold units in the field of color science. The former refers to a just perceptible difference and the latter evokes a tolerable color difference. Such thresholds can be very significant to color quality control processes in the printing industry and should be defined in quality measure units. Optical density (OD) and color difference models are usually utilized as color quality measures and have been provided in a considerable number of commercial measuring devices such as spectrophotometers. However, their merits and traits are far less understood in the literature. The present study intends to evaluate performance of those color quality measures including the OD and widely known color difference models, e.g. ${\Delta}E{^*}_{ab}$, ${\Delta}E_{CMC(l:c)}$ and ${\Delta}E{^*}_{00}$. A set of psychophysical assessments were carried out in order to accumulate the perceptibility and acceptability thresholds data, and their central trend was compared with the color quality measure estimates.

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References

  1. R. S. Berns, "Measuring color quality: perceptibility and acceptability visual judgments," in Billmeyer and Saltzman's Principles of Color Technology, 3rd ed. (John Wiley & Sons, NY, USA, 2000).
  2. Y. J. Kim, S. K. Ha, H. C. Kim, Y. Bang, and H. Choh, "Measuring sensitivity of the visual system to reflection optical density variation," in Proc. 31th Conference of Korea Society for Imaging Science and Technology (Pu Kyong National Univ., Busan, Korea, Jun. 2009), pp. 90-91.
  3. J. D. J. Ingle and S. R. Crouch, "Spectrochemical measurements," in Spectrochemical Analysis (Prentice Hall, New Jersey, USA, 1988).
  4. CIE Publication 15.2, Colorimetry, 2nd ed. (Commission Internationale de l'Eclairage, Vienna, Austria, 1986).
  5. F. J. J. Clarke, R. McDonald, and B. Rigg, "Modification to the JPC79 Colour-diffrence formula," J. Soc. Dyers & Colourists 100, 117-148 (1984).
  6. M. R. Luo, G. Cui, and B. Rigg, "The development of the CIE2000 color-difference formula: CIEDE2000," Col. Res. Appl. 26, 340-350 (1998).
  7. P. Engeldrum, "Image quality modeling: where are we?," in Proc. IS&T's PICS 1999 Conference (Springfield, Virginia, USA, 1999), pp. 251-255.
  8. International Standards Organization, CIE Standard Illuminants for colorimetry, ISO 10526/CIE 5005-1999 (1999).
  9. G. Gescheider, "The classical psychophysical methods," in Psychophysics: The Fundamentals, 3rd ed. (Lawrence Erlbaum Associates, NJ, USA, 1997).
  10. Y. J. Kim and H. Kim, "Spatial luminance contrast sensitivity: effects of surround," J. Opt. Soc. Korea 14, 152-162 (2010). https://doi.org/10.3807/JOSK.2010.14.2.152
  11. M. D. Fairchild, Color Appearance Models, 2nd ed. (John Wiley & Sons, West Sussex, England, 2005).

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