Color Constancy for Scenes with Varying Illumination

Jacobus J Barnard, Graham Finlayson, Brian Funt

Research output: Contribution to journalArticle

92 Citations (Scopus)

Abstract

We present an algorithm which uses information from both surface reflectance and illumination variation to solve for color constancy. Most color constancy algorithms assume that the illumination across a scene is constant, but this is very often not valid for real images. The method presented in this work identifies and removes the illumination variation, and in addition uses the variation to constrain the solution. The constraint is applied conjunctively to constraints found from surface reflectances. Thus the algorithm can provide good color constancy when there is sufficient variation in surface reflectances, or sufficient illumination variation, or a combination of both. We present the results of running the algorithm on several real scenes, and the results are very encouraging.

Original languageEnglish (US)
Pages (from-to)311-321
Number of pages11
JournalComputer Vision and Image Understanding
Volume65
Issue number2
StatePublished - Feb 1997
Externally publishedYes

Fingerprint

Lighting
Color
Information use

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Color Constancy for Scenes with Varying Illumination. / Barnard, Jacobus J; Finlayson, Graham; Funt, Brian.

In: Computer Vision and Image Understanding, Vol. 65, No. 2, 02.1997, p. 311-321.

Research output: Contribution to journalArticle

Barnard, Jacobus J ; Finlayson, Graham ; Funt, Brian. / Color Constancy for Scenes with Varying Illumination. In: Computer Vision and Image Understanding. 1997 ; Vol. 65, No. 2. pp. 311-321.
@article{c89680dff99d453c93e872f21471aca4,
title = "Color Constancy for Scenes with Varying Illumination",
abstract = "We present an algorithm which uses information from both surface reflectance and illumination variation to solve for color constancy. Most color constancy algorithms assume that the illumination across a scene is constant, but this is very often not valid for real images. The method presented in this work identifies and removes the illumination variation, and in addition uses the variation to constrain the solution. The constraint is applied conjunctively to constraints found from surface reflectances. Thus the algorithm can provide good color constancy when there is sufficient variation in surface reflectances, or sufficient illumination variation, or a combination of both. We present the results of running the algorithm on several real scenes, and the results are very encouraging.",
author = "Barnard, {Jacobus J} and Graham Finlayson and Brian Funt",
year = "1997",
month = "2",
language = "English (US)",
volume = "65",
pages = "311--321",
journal = "Computer Vision and Image Understanding",
issn = "1077-3142",
publisher = "Academic Press Inc.",
number = "2",

}

TY - JOUR

T1 - Color Constancy for Scenes with Varying Illumination

AU - Barnard, Jacobus J

AU - Finlayson, Graham

AU - Funt, Brian

PY - 1997/2

Y1 - 1997/2

N2 - We present an algorithm which uses information from both surface reflectance and illumination variation to solve for color constancy. Most color constancy algorithms assume that the illumination across a scene is constant, but this is very often not valid for real images. The method presented in this work identifies and removes the illumination variation, and in addition uses the variation to constrain the solution. The constraint is applied conjunctively to constraints found from surface reflectances. Thus the algorithm can provide good color constancy when there is sufficient variation in surface reflectances, or sufficient illumination variation, or a combination of both. We present the results of running the algorithm on several real scenes, and the results are very encouraging.

AB - We present an algorithm which uses information from both surface reflectance and illumination variation to solve for color constancy. Most color constancy algorithms assume that the illumination across a scene is constant, but this is very often not valid for real images. The method presented in this work identifies and removes the illumination variation, and in addition uses the variation to constrain the solution. The constraint is applied conjunctively to constraints found from surface reflectances. Thus the algorithm can provide good color constancy when there is sufficient variation in surface reflectances, or sufficient illumination variation, or a combination of both. We present the results of running the algorithm on several real scenes, and the results are very encouraging.

UR - http://www.scopus.com/inward/record.url?scp=0031073711&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031073711&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0031073711

VL - 65

SP - 311

EP - 321

JO - Computer Vision and Image Understanding

JF - Computer Vision and Image Understanding

SN - 1077-3142

IS - 2

ER -