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Color spaces for computer graphics

Authors:

George H. Joblove,

Donald GreenbergAuthors Info & Claims

ACM SIGGRAPH Computer Graphics, Volume 12, Issue 3

Pages 20 - 25

https://doi.org/10.1145/965139.807362

Published: 23 August 1978 Publication History

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Abstract

Normal human color perception is a product of three independent sensory systems. By mirroring this mechanism, full-color display devices create colors as mixtures of three primaries. Any displayable color can be described by the corresponding values of these primaries. Frequently it is more convenient to define various other color spaces, or coordinate systems, for color representation or manipulation. Several such color spaces are presented which are suitable for applications involving user specification of color, along with the defining equations and illustrations. The use of special color spaces for particular kinds of color computations is discussed.

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Wyszecki, Gunter and Stiles, W.S., Color Science John Wiley & Sons, New York, 1967.

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Hunt, R.W.G., "The Specification of Colour Appearance I. Concepts and Terms," Color Research and Application, vol. 2, pp. 55-68 (Summer 1977).

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Index Terms

Color spaces for computer graphics
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition
  2. Computer graphics
    1. Image manipulation
      1. Texturing
    2. Rendering

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Published In

cover image ACM SIGGRAPH Computer Graphics

ACM SIGGRAPH Computer Graphics Volume 12, Issue 3

August 1978

337 pages

ISSN:0097-8930

DOI:10.1145/965139

Issue’s Table of Contents

SIGGRAPH '78: Proceedings of the 5th annual conference on Computer graphics and interactive techniques
August 1978
363 pages
ISBN:9781450379083
DOI:10.1145/800248
Chairmen:
S. H. Chasen,
R. L. Phillips

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 August 1978

Published in SIGGRAPH Volume 12, Issue 3

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Vilar-Andreu MGarcía LGarcia-Sanchez AAsorey-Cacheda RGarcia-Haro J(2024)Enhancing Precision Agriculture Pest Control: A Generalized Deep Learning Approach With YOLOv8-Based Insect DetectionIEEE Access10.1109/ACCESS.2024.341397912(84420-84434)Online publication date: 2024
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