| An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models |
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ACM Transactions on Graphics (TOG)
archive
Volume 6 , Issue 2 (April 1987)
table of contents
Pages: 123 - 158
Year of Publication: 1987
ISSN:0730-0301
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Downloads (6 Weeks): 33, Downloads (12 Months): 272, Citation Count: 12
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ABSTRACT
The increasing availability of affordable color raster graphics displays has made it important to develop a better understanding of how color can be used effectively in an interactive environment. Most contemporary graphics displays offer a choice of some 16 million colors; the user's problem is to find the right color.
Folklore has it that the RGB color space arising naturally from color display hardware is user-hostile and that other color models such as the HSV scheme are preferable. Until now there has been virtually no experimental evidence addressing this point.
We describe a color matching experiment in which subjects used one of two tablet-based input techniques, interfaced through one of five color models, to interactively match target colors displayed on a CRT.
The data collected show small but significant differences between models in the ability of subjects to match the five target colors used in this experiment. Subjects using the RGB color model matched quickly but inaccurately compared with those using the other models. The largest speed difference occurred during the early convergence phase of matching. Users of the HSV color model were the slowest in this experiment, both during the convergence phase and in total time to match, but were relatively accurate. There was less variation in performance during the second refinement phase of a match than during the convergence phase.
Two-dimensional use of the tablet resulted in faster but less accurate performance than did strictly one-dimensional usage.
Significant learning occurred for users of the Opponent, YIQ, LAB, and HSV color models, and not for users of the RGB color model.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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MUNSELL, A.H. A Color Notation. Munsell Color Company, 1939.
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SCHWARZ, M.W. An empirical evaluation of interactive colour selection techniques. M. Math. dissertation, Dept. of Computer Science, Univ. of Waterloo, Waterloo, Ont., Canada, 1985.
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WALPOLE, R. E., AND MYERS, R. H. Probability and Statistics {or Engineers and Scientists. McMillan, New York, 1978.
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WYSZECKI, G., AND STILES, W.S. Color Science: Concepts and Methods, Quantitative Data and Formulae, 2nd ed. Wiley, New York, 1982.
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CITED BY 12
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Suresh K. Lodha , Abigail J. Joseph , Jose C. Renteria, Audio-visual data mapping for GIS-based data: an experimental evaluation, Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management, p.41-48, November 02-06, 1999, Kansas City, Missouri, United States
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Na Li , Chun Chen , Qiang Wang , Mingli Song , Dacheng Tao , Xuelong Li, Letters: Avatar motion control by natural body movement via camera, Neurocomputing, v.72 n.1-3, p.648-652, December, 2008
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REVIEW
"Paolo E. Sabella : Reviewer"
The authors describe a color matching experiment in which subjects
interactively matched target colors displayed on a CRT display. The five
color models selected were RGB, YIQ, LAB, HSV, and opponent colors. Twelve
groups of subjects were formed
more...
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