Colour Matching of Isoluminant Samples and Backgrounds: A Dimming Effect

Sequential asymmetrical colour matching of forty Munsell samples simulated under illuminant C and one of eight test illuminants was carried out. The subjects matched the appearance of each sample under illuminant C with its appearance under the test illuminant. Samples and background (N7) were presented for 1 s under the test illuminant and were isoluminant with each other. Subjects adjusted hue, chroma, and value under illuminant C. The experiments distinguished two groups of subjects; some observers needed to reduce the luminance of the sample to make a match while others did not. This ‘dimming’ occurred when the matches were close to cardinal axes, especially the tritanopic confusion line. A model of luminance and cone-opponent mechanisms contributing to brightness can account for the dimming effect. Details of analysis in cone-opponent space (L-M, L+M-S, L+M) are presented in the companion paper (Stanikunas et al, 2005 Perception 34 this issue).

[1]  J. Kulikowski,et al.  Colour Matching of Isoluminant Samples and Backgrounds: A Model , 2005, Perception.

[2]  J. Kulikowski,et al.  Colour constancy as a function of hue. , 1997, Acta psychologica.

[3]  David H Brainard,et al.  Surface-Illuminant Ambiguity and Color Constancy: Effects of Scene Complexity and Depth Cues , 2002, Perception.

[4]  I. Kuriki,et al.  Brightness, not luminance, determines transition from the surface-color to the aperture-color mode for colored lights , 2001 .

[5]  J. Kulikowski,et al.  Wavelength discrimination at detection threshold. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[6]  J. Walraven Discounting the background—the missing link in the explanation of chromatic induction , 1976, Vision Research.

[7]  Colour and brightness shifts for isoluminant samples and backgrounds , 2001 .

[8]  J. Werner,et al.  Spectral efficiency across the life span: flicker photometry and brightness matching. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.

[9]  G Malkoc,et al.  Variations in normal color vision. I. Cone-opponent axes. , 2000, Journal of the Optical Society of America. A, Optics, image science, and vision.

[10]  C. R. Ingling,et al.  Orthogonal combination of the three visual channels , 1977, Vision Research.

[11]  S L Guth,et al.  Model for color vision and light adaptation. , 1991, Journal of the Optical Society of America. A, Optics and image science.

[12]  J. Kulikowski,et al.  Convergence of parvocellular and magnocellular information channels in the primary visual cortex of the macaque , 2002, The European journal of neuroscience.

[13]  P. Kaiser,et al.  Contributions of the opponent mechanisms to brightness and nonlinear models , 1988, Vision Research.

[14]  C. R. Ingling The spectral sensitivity of the opponent-color channels , 1977, Vision Research.

[15]  D B JUDD,et al.  Response functions for types of vision according to the Müller theory. , 1949, Journal of research of the National Bureau of Standards.

[16]  R. L. Valois,et al.  Hue Scaling of Isoluminant and Cone-specific Lights , 1997, Vision Research.

[17]  S. Shioiri,et al.  Individual differences of the contribution of chromatic channels to brightness. , 1993, Journal of the Optical Society of America. A, Optics and image science.