Illuminant color estimation by hue categorization based on gray world assumption

Harumi Kawamura, Shunichi Yonemura, Jun Ohya, Norihiko Matsuura

研究成果: Conference contribution

7 被引用数 (Scopus)


This paper proposes a gray world assumption based method for estimating an illuminant color from an image by hue categorization. The gray world assumption hypothesizes that the average color of all the objects in a scene is gray. However, it is difficult to estimate an illuminant color correctly if the colors of the objects in a scene are dominated by certain colors. To solve this problem, our method uses the opponent color properties that the average of a pair of opponent colors is gray. Thus our method roughly categorizes the colors derived from the image based on hue and selects them one by one from the hue categories until selected colors satisfy the gray world assumption. In our experiments, we used three kinds of illuminants (i.e., CIE standard illuminants A and D65, and a fluorescent light) and two kinds of data sets. One data set satisfies the gray world assumption, and the other does not. Experiment results show that estimated illuminants are closer to the correct ones than those obtained with the conventional method and the estimation error for both using CIE standard illuminants A and D65 by our method are within the barely noticeable difference in human color perception.

ホスト出版物のタイトルProceedings of SPIE-IS and T Electronic Imaging - Computational Imaging IX
出版ステータスPublished - 2011 3月 29
イベントComputational Imaging IX - San Francisco, CA, United States
継続期間: 2011 1月 242011 1月 25


名前Proceedings of SPIE - The International Society for Optical Engineering


ConferenceComputational Imaging IX
国/地域United States
CitySan Francisco, CA

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 凝縮系物理学
  • コンピュータ サイエンスの応用
  • 応用数学
  • 電子工学および電気工学


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