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An analysis of selected computer interchange color spaces

Editor: Jim Foley Authors:

James M. Kasson,

Wil PlouffeAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 11, Issue 4

Pages 373 - 405

https://doi.org/10.1145/146443.146479

Published: 01 October 1992 Publication History

Abstract

Important standards for device-independent color allow many different color encodings. This freedom obliges users of these standards to choose the color space in which to represent their data. A device-independent interchange color space must exhibit an exact mapping to a colorimetric color representation, ability to encode all visible colors, compact representation for given accuracy, and low computational cost for transforms to and from device-dependent spaces. The performance of CIE 1931 XYZ, CIELUV, CIELAB, YES, CCIR 601-2 YCbCr, and SMPTE-C RGB is measured against these requirements. With extensions, all of these spaces can meet the first two requirements. Quantizing error dominates the representational errors of the tested color spaces. Spaces that offer low quantization error also have low gain for image noise. All linear spaces are less compact than nonlinear alternatives. The choice of nonlinearity is not critical; a wide range of gammas yields acceptable results. The choice of primaries for RGB representations is not critical, except that high-chroma primaries should be avoided. Quantizing the components of the candidate spaces with varying precision yields only small improvements. Compatibility with common image data compression techniques leads to the requirement for low luminance contamination, a property that compromises several otherwise acceptable spaces. The conversion of a device-independent representation to popular device spaces by means of trilinear interpolation requires substantially fewer lookup table entries with CCIR 601-2 YCbCr and CIELAB.

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Index Terms

An analysis of selected computer interchange color spaces
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
        3D imaging
  2. Computer graphics
    1. Animation

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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

Editor:
Jim Foley
Georgia Institute of Technology, Atlanta

Issue’s Table of Contents

Copyright © 1992 ACM.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 1992

Published in TOG Volume 11, Issue 4

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