Chromatic adaptation and color constancy: A possible dichotomy

1986 ◽  
Vol 11 (3) ◽  
pp. 196-204 ◽  
Author(s):  
Michael H. Brill ◽  
Gerhard West
Keyword(s):  
Color Constancy ◽  
Chromatic Adaptation

Partial Color Constancy of Isolated Surface Colors Examined by a Color-Naming Method

Perception ◽  
1989 ◽  
Vol 18 (1) ◽  
pp. 83-91 ◽  
Author(s):  
Keiji Uchikawa ◽  
Hiromi Uchikawa ◽  
Robert M Boynton
Keyword(s):  
Color Constancy ◽  
Color Naming ◽  
The State ◽  
Color Appearance ◽  
Chromatic Adaptation ◽  
Light Sources ◽  
Two Factors ◽  
The Subject ◽  
Spectral Distributions ◽  
Color Scales

Color samples selected from the OSA Uniform Color Scales set were viewed without any surround. Separate light sources were used to illuminate the samples and to control the state of adaptation of the subject, thereby separating two factors that are normally confounded. A color-naming procedure was used to assess shifts in color appearance produced by altering the spectral distributions of one or both light sources. The results confirm that chromatic adaptation, when it is the only factor operating, can mediate partial color constancy.

scholarly journals Linear Chromatic Adaptation Transform Based on Delaunay Triangulation

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Rok Kreslin ◽  
Pilar M. Calvo ◽  
Luis G. Corzo ◽  
Peter Peer
Keyword(s):  
Linear Model ◽  
Delaunay Triangulation ◽  
Color Constancy ◽  
Objective Evaluation ◽  
Input Image ◽  
Chromatic Adaptation ◽  
Color Information ◽  
Color Gamut ◽  
Color Constant ◽  
Better Than

Computer vision algorithms that use color information require color constant images to operate correctly. Color constancy of the images is usually achieved in two steps: first the illuminant is detected and then image is transformed with the chromatic adaptation transform (CAT). Existing CAT methods use a single transformation matrix for all the colors of the input image. The method proposed in this paper requires multiple corresponding color pairs between source and target illuminants given by patches of the Macbeth color checker. It uses Delaunay triangulation to divide the color gamut of the input image into small triangles. Each color of the input image is associated with the triangle containing the color point and transformed with a full linear model associated with the triangle. Full linear model is used because diagonal models are known to be inaccurate if channel color matching functions do not have narrow peaks. Objective evaluation showed that the proposed method outperforms existing CAT methods by more than 21%; that is, it performs statistically significantly better than other existing methods.

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