Effect of purity on hue (Abney effect) in various conditions

Pridmore, Ralph W.

doi:10.1002/col.20286

Cited by 25 publications

(23 citation statements)

References 30 publications

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“…The iso-hue contours as measured in the CIE chromaticity diagram for colours of lights are rather curved (Burns et al, 1984;Pridmore, 2007). Unfortunately, no systematic data have been collected for object colours, that is, we do not know the form of the analogous contours in the colour solid (i.e., the hue fibers).…”

Section: Discussionmentioning

confidence: 99%

Colour Constancy as Measured by Least Dissimilar Matching

Logvinenko¹,

Tokunaga²

2011

Seeing and Perceiving

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Although asymmetric colour matching has been widely used in experiments on colour constancy, an exact colour match between objects lit by different chromatic lights is impossible to achieve. We used a modification of this technique, instructing our observers to establish the least dissimilar pair of differently illuminated coloured papers. The stimulus display consisted of two identical sets of 22 Munsell papers illuminated independently by neutral, yellow, blue, green and red lights. The lights produced approximately the same illuminance. Four trichromatic observers participated in the experiment. The proportion of exact matches was evaluated. When both sets of papers were lit by the same light, the exact match rate was 0.92, 0.93, 0.84, 0.78 and 0.76 for the neutral, yellow, blue, green and red lights, respectively. When one illumination was neutral and the other chromatic, the exact match rate was 0.80, 0.40, 0.56 and 0.32 for the yellow, blue, green and red lights, respectively. When both lights were chromatic, the exact match rate was found to be even poorer (0.30 on average). Yet, least dissimilar matching was found to be rather systematic. Particularly, a statistical test showed it was symmetric and transitive. The exact match rate was found to be different for different papers, varying from 0.99 (black paper) to 0.12 (purple paper). Such a variation can hardly be expected if observers' judgements were based on an illuminant estimate. We argue that colour constancy cannot be achieved for all the reflecting objects because of mismatching of metamers. We conjecture that the visual system might have evolved to have colour constant perception for some ecologically valid objects at a cost of colour inconstancy for other types of objects.

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Section: Discussionmentioning

confidence: 99%

Colour Constancy as Measured by Least Dissimilar Matching

Logvinenko¹,

Tokunaga²

2011

Seeing and Perceiving

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“…The indicated 5 nm intervals are limited to the wavelength range 440-615 nm, approximate limits to monochromatic optimal color stimuli. 6 Optimal color stimuli for the remaining hue cycle (nonspectral hues) are compound colors comprising admixtures of 442 and 613 nm, shown on the line 442-613 nm. In Fig.…”

Section: Hue Cycle Intervalmentioning

confidence: 99%

“…On this basis, this article formulates the structure of complementary wavelength pairs in the spectrum and extends the structure and numerical (wavelength) series into the nonspectrals, thus deriving a wavelength-based scale for the entire hue cycle, for use with CIE illuminant D65 and 2-48 visual field. The method was largely developed in previous articles over some years, [5][6][7] integrated and amplified here as a stand alone paper. Later below, data are specified (in the following article) 4 to extend the use of the wavelength-based metric to some other CIE illuminants and to the 108 visual field.…”

Section: Introductionmentioning

confidence: 99%

Relative wavelength metric for the complete hue cycle: Derivation from complementary wavelengths

Pridmore¹

2010

Color Research & Application

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In recent research, it has been increasingly necessary to employ an extended wavelength metric to cover the complete hue cycle so as to research or represent data as a function of relative wavelength rather than psychological scales such as CIELAB or Munsell hue angle. This article describes such a relative wavelength metric and its derivation from complementary wavelength functions. The metric provides a useful psychophysical, wavelength-based, ratio scale for the hue cycle allowing nonspectrals to be treated in the same coherent scale as spectral hues. Several indicators, e.g., color order hue cycles, infer the (optimally efficient) spectral hues comprise about 71% and the nonspectrals about 29%, of the hue cycle interval. This gives a hue cycle whose relative wavelength interval is about 240 nm for illuminant D65. To relate to CIE colorimetry, spectral complementary wavelengths to the nonspectrals' relative wavelengths are identified for seven illuminants including D65, D50, C, and A. Data are given for CIE 1931, and briefly 1964, colorimetry.

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“…The hue cycle interval of 240 nm/e, from three methods, is likely accurate to 65 nm/e, but the metric's accuracy is difficult to measure except from its success in generating values and graph curves whose nonspectral parts fit seamlessly with spectral parts of the hue cycle (in this and previous studies using the metric). 15,43 It was noted in section ''Spectral Sensitivity and Chromatic Adaptation'', RGB hues are relatively high saturation and low lightness, and have high CI ratio (Fig. 3) and low power ratio (Fig.…”

Section: Discussionmentioning

confidence: 98%

Complementary colors: The structure of wavelength discrimination, uniform hue, spectral sensitivity, saturation, chromatic adaptation, and chromatic induction

Pridmore

2009

Color Research & Application

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Complementary colors have long been thought important to color vision due to their ability (as admixed pairs) to extinguish all chromaticity, and to adapt automatically (i.e., wavelength pairs and radiant power ratios) to illuminant. Their role in color mixture and chromatic induction is well documented but other roles have not been demonstrated. This article studies the structure of complementary colors in the wavelength and radiance dimensions over the hue cycle (the nonspectrals are represented by a nominal-wavelength metric). In the wavelength dimension, the basic structure of complementary colors is the complementary intervals ratio (ratio of a wavelength interval to its complementary interval of 1 nm). The ratio has RGB peaks, complementary CMY troughs, and provides models of chromatic induction, wavelength discrimination, and uniform hue difference in good agreement with data. Novel analyses of six color order/UCS hue circles indicate essential characteristics of a uniform hue scale. In the radiance dimension, basic structure is the complementary powers ratio (power of a stimulus required to neutralize its complementary of 1 Watt). The inverse structure has RGB peaks, complementary CMY troughs, and provides models of saturation, spectral sensitivity, and chromatic adaptation to illuminant. The RGB peaks demonstrate spectral sharpening, implying a postreceptoral location in the physiology. The models indicate that complementary colors have a significant role in color appearance besides their well known role in color mixture.

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Effect of purity on hue (Abney effect) in various conditions

Abstract: The effect of purity on hue has been reported severally (including Munsell and NCS data

Cited by 25 publications

References 30 publications

Colour Constancy as Measured by Least Dissimilar Matching

Colour Constancy as Measured by Least Dissimilar Matching

Relative wavelength metric for the complete hue cycle: Derivation from complementary wavelengths

Complementary colors: The structure of wavelength discrimination, uniform hue, spectral sensitivity, saturation, chromatic adaptation, and chromatic induction

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