Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
article
Free access

Precision requirements for digital color reproduction

Published: 01 October 1992 Publication History
  • Get Citation Alerts
  • Abstract

    An environment was established to perform device-independent color reproduction of full-color pictorial images. In order to determine the required precision for this environment, an experiment was performed to psychophysically measure colorimetric tolerances for six images using paired comparison techniques. These images were manipulated using 10 linear and nonlinear functions in the CIELAB dimensions of lightness, chroma, and hue angle. Perceptibility tolerances were determined using probit analysis. From these results, the necessary precision in number of bits per color channel was determined for both the CIELAB and the CRT rgb device color spaces. For both the CIELAB color space and the CRT rgb device space, approximately eight color bits per channel were required for imperceptible color differences for pictorial images, and 10 bits per channel were required for computational precision.

    References

    [1]
    ALMAN, D. H., BERNS, R. S., SNYDER, G. D., AND LARSEN, W. A. Performance testing of color-difference metrics using a color tolerance dataset. Col. Res. Appl. 14, (1989), 139-151.
    [2]
    BARTLESON, C.J. Influence of observer adaptation on the acceptance of color prints. Phot. ~ Sci. Eng. 2, (1958), 32-39.
    [3]
    BARTLESON, C. J., AND WOODBUa~, W.W. Psychophysical methods for evaluating the quality of color transparencies: II. Control of observer adaptation in categorical judgments. Phot. Sci. Eng. 6, (1962), 15-18.
    [4]
    BERNS, R. S., AND GORZYNSKI, M.E. Characterizing the total uncertainty of the colorimetric calibration of color video displays. In Proceedings CIE 22nd Session, Part I. 1991, pp. 35-38.
    [5]
    BERNS, R. S., AND MOTTA, R. J. Colorimetric calibration of soft-copy devices to aid in hard-copy reproduction. In Proceedings of SPSE 41st Annual Conference. 1988, pp. 266-269.
    [6]
    BERNS, R. S., ALMAN, D. H., RENIFF, L., SNYDER, G. D., AND BALONON-ROSEN, M.R. Visual determination of supra-threshold color-difference tolerances using probit analysis. Col. Res. Appl. 16, 5 (1991), 297-316.
    [7]
    BERNS, R. S., GORZYNSFa, M. E., AND MOTT^, R.J. CRT metrology and colorimetric characterization techniques. Munsell color science laboratory technical report. (1991).
    [8]
    CCIR. Encoding parameters of digital television. CCIR Recommendation 601-2, International Radio Consultative Committee (ITU), 1990.
    [9]
    CIE. Colorimetry, second edition (official recommendations of the International Commission on Illumination). CIE Publ. 15.2, Central Bureau of the CIE, Vienna, 1986.
    [10]
    CORE~, G. P., CLAYqX)N, M. J., AND CUPERY, K.N. Scene dependence of image quality. Phot. Sci. Eng. 27, (1983), 9-13.
    [11]
    EASTMAN KODAK COMPANY. Kodak Photo CD Products: A Planning Guide for Developers. Kodak Part Number DCI-200R, Rochester, New York, 1992.
    [12]
    EVANS, R. M., HANSON, W. T., AND BREWER, W.L. Principles of Color Photography. John Wiley, New York, 1953.
    [13]
    F^mCHILD, M. D. Formulation and testing of an incomplete chromatic adaptation model. Col. Res. Appl. 16, (1991), 243-250.
    [14]
    FAIRCHILD, M. D., AND LENNm, P. Chromatic adaptation to natural and artificial illuminants. Vision Res. In press.
    [15]
    ~Y, D.J. Probit Analysis. 3d ed. Cambridge University Press, Cambridge, England, 1971.
    [16]
    GRANa~R, E. M., ~o CUPERY, K.N. All optical merit function (SQF), which correlates with subjective image judgments. J. Phot. Sci. Eng. 16, 3 (1972), 221-230.
    [17]
    GENTILE, R. S., WALOWIT, E., AND ALLEBACH, J. P. A comparison of techniques for color gamut mismatch compensation. J. Imaging Tech. 16, 5 (1990), 176-181.
    [18]
    Jo~rEs, L. A., ~ CONDrr, H.R. The brightness scale of exterior scenes and the computation of correct photographic exposure. J. Opt. Soc. Amer. 31, (1941), 651-678.
    [19]
    KANG, H. R., AND ANDERSON, P.G. Neural network applications to the color scanner and printer calibrations. J. Elec. Imaging 1, 2 (1992), 125-135.
    [20]
    KASSON, J. M., AND PLOUFFE, W. Requirements for computer interchange color spaces, image communications and workstations. In Proceedings of SPIE. 1990, pp. 172-183.
    [21]
    LAMMING, M. G., AND RHODES, W.L. A simple method for improved color printing of monitor images. ACM Trans. Graphics 9, 4 (1990), 345-375.
    [22]
    McDONALD, R. Acceptability and perceptibility decisions using the CMC color difference formula. Tex. Chem. Col. 20, 6 (1988), 31-37.
    [23]
    MEYER, G. W., RUSHMEmR, H. E., COHEN, M. F., GREENBERG, D. P., AND TORRANCE, K.E. An experimental evaluation of computer graphics imagery. ACM Trans. Graphics 5, 1 (1986), 30-50.
    [24]
    MUNSELL, A.H. A Color Notation. 13 ed. Munsell Color, Baltimore, 1979.
    [25]
    NTSC. NTSC signal specifications. Proc. IRE 42, 1 (1954).
    [26]
    ~TERSON, H. A., PENG, H., MORCAN, J. H., AND PSNNEB~R, W.B. Quantization of color image components in the DCT domain. In Proceedings of SPIE. 1990, pp. 210-222.
    [27]
    SAE J 1545. Recommended practice, instrumental color difference measurement for exterior finishes, textiles, and colored trim. SAE, 1985.
    [28]
    SAS/STAT. SAS/STAT User's Guide, Version 6. Fourth ed. 1990, pp. 1071-1126.
    [29]
    SCHWARZ, M. W., CowAN, W. B., AND BEATTY, J.C. An experimental comparison of RGB, YIQ, LAB, HSV, and opponent color models. ACM Trans. Graphics 6, 2 (1987), 123-158.
    [30]
    SMPTE. Color monitor colorimetry. SMPTE Recommended Practice RP 37-1969, SMPTE, 1987.
    [31]
    STOKES, M. Colorimetric tolerances of digital images. Master's Thesis, Rochester Institute of Technology, Rochester, N.Y., 1991.

    Cited By

    View all
    • (2024)Physicochemical and Sensory Stability Evaluation of Gummy Candies Fortified with Mountain Germander Extract and PrebioticsPolymers10.3390/polym1602025916:2(259)Online publication date: 17-Jan-2024
    • (2024)Luca Vitone: Monitoring of Four Living CanvasesHeritage10.3390/heritage70300697:3(1438-1452)Online publication date: 10-Mar-2024
    • (2024)Enhancing the Integration of Protein-Rich Oat Waste Material into Meat FormulationsApplied Sciences10.3390/app1408344514:8(3445)Online publication date: 19-Apr-2024
    • Show More Cited By

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Transactions on Graphics
    ACM Transactions on Graphics  Volume 11, Issue 4
    Oct. 1992
    118 pages
    ISSN:0730-0301
    EISSN:1557-7368
    DOI:10.1145/146443
    Issue’s Table of Contents

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 October 1992
    Published in TOG Volume 11, Issue 4

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. color
    2. color correction
    3. color reproduction
    4. color science
    5. image science

    Qualifiers

    • Article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)116
    • Downloads (Last 6 weeks)11
    Reflects downloads up to 29 Jul 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2024)Physicochemical and Sensory Stability Evaluation of Gummy Candies Fortified with Mountain Germander Extract and PrebioticsPolymers10.3390/polym1602025916:2(259)Online publication date: 17-Jan-2024
    • (2024)Luca Vitone: Monitoring of Four Living CanvasesHeritage10.3390/heritage70300697:3(1438-1452)Online publication date: 10-Mar-2024
    • (2024)Enhancing the Integration of Protein-Rich Oat Waste Material into Meat FormulationsApplied Sciences10.3390/app1408344514:8(3445)Online publication date: 19-Apr-2024
    • (2024)Effect of Refractance Window™ and oven drying on physicochemical and sensory properties of peach (Prunus persica L.) surplusFrontiers in Nutrition10.3389/fnut.2024.130742311Online publication date: 23-Apr-2024
    • (2023)A Machine Learning Approach Investigating Consumers’ Familiarity with and Involvement in the Just Noticeable Color Difference and Cured Color Characterization ScaleFoods10.3390/foods1224442612:24(4426)Online publication date: 10-Dec-2023
    • (2023)Design of non-Gaussian multispectral shortwave infrared filters assessed by surface spectral reflectances on the ECOSTRESS libraryJournal of the Optical Society of America A10.1364/JOSAA.48057140:5(1006)Online publication date: 1-May-2023
    • (2023)Optimized cleaning of conveyor belts using plasma-processed water assisted by optical detection of food residuesInnovative Food Science & Emerging Technologies10.1016/j.ifset.2023.10337986(103379)Online publication date: Jun-2023
    • (2023)Plant-based bigels as a novel alternative to commercial solid fats in short dough products: Textural and structural properties of short dough and shortbreadFood Bioscience10.1016/j.fbio.2023.10286554(102865)Online publication date: Aug-2023
    • (2023)Forty years of color quantization: a modern, algorithmic surveyArtificial Intelligence Review10.1007/s10462-023-10406-656:12(13953-14034)Online publication date: 27-Apr-2023
    • (2022)TM-Net: A Neural Net Architecture for Tone MappingJournal of Imaging10.3390/jimaging81203258:12(325)Online publication date: 12-Dec-2022
    • Show More Cited By

    View Options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Get Access

    Login options

    Full Access

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media