Introduction to Color

Evans, R. M.; Bartley, S. Howard

doi:10.1119/1.1991151

Cited by 27 publications

(25 citation statements)

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“…(See, for secondary sources, Committee on Colorimetry, D.S. A., 1953;Evans, 1948;Graham, 1965;Wyszecki & Stiles, 1967. ) Secondly, chromaticity scores must be expressed in a way that yields quantitatively useful estimates of the strengths of the CAEs themselves.…”

mentioning

confidence: 99%

Summation of successively established orientation-contingent color aftereffects

White

1977

Perception & Psychophysics

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confidence: 99%

Summation of successively established orientation-contingent color aftereffects

White

1977

Perception & Psychophysics

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“…An interesting fact about human color vision is that it becomes unstable under isoluminance conditions (Evans, 1948). Boundaries defined only by a chromatic change are weak, colors from one side of such a boundary are likely to invade the other.…”

Section: Psychophysicalmentioning

confidence: 99%

“…Note in the equation for the highlighted region that there are matte and specular components (Evans, 1948;Horn, 1977) in some linear combination determined by fraction 6. The specular component is just some coefficient multiplied by the source; the albedo plays no role.…”

Section: '-Imentioning

confidence: 99%

Color vision and image intensities: When are changes material?

1982

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-Marr has emphasized the difficulty in understanding a biological system or its components without some idea of its goals. In this paper, a preliminary goal for color ision is proposed and analyzed. That goal is to determine where changes of material occur in a scene (using only spectral information). This goal is challenging for two reasons. First, the effects of many processes (shadowing, shading from surface orientation changes, highlights, variations in pigment density) are confounded with the effects of material changes in the available image itensities. Second. material changes are essentially arbitrary. We are consequently led to a strategy of rejecting the presence of such confounding processes. We show there is a unique condition, the spectral crosspoint, that allows rejection of the hypothesis that measured image intensities arise from one of the confounding processes. (If plots are made of image intensity versus wavelength from two image regions, and the plots intersect, we say that there is a spectral crosspoint.) We restrict our attention to image intensities measured from regions on opposite sides of an edge because material changes almost always cause edges. Also, by restricting our attention to luminance discontinuities, we can avoid peculiar conspirliies of confounding processes that might mimic a material chage. Our crosspoint conjecture is that biological visual systems interpret spectral crosspoints across edges as material changes. A circularly symmetric operator is designed to detect crosspoints; it turns out to resemble the double-opponent cell which is commonplace in biological color vision systems.

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“…A puzzle since Newton's pioneering studies is why when asked to arrange objects with a full range of spectral qualities (e.g., Munsell chips) such that their apparent colors are minimally different, the result is a closed continuum ( Figure 1) [4,5]. Equally perplexing is why we perceive a color gamut based on four color classes-reds, greens, blues and yellows-each defined by a unique hue that has no apparent admixture of the other three color classes [6][7][8][9]. And while it has long been known that color vision is mediated by the spectral sensitivities of short, medium, and long-wavelength cones whose output is processed by red-green and blue yellow opponent neurons [7,8,[10][11][12], why these particular properties have evolved in humans is also incompletely understood [7,11,13].…”

Section: Introductionmentioning

confidence: 99%

The Demands of Geometry on Color Vision

Purves

Yegappan

2017

Vision

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While studies of human color vision have made enormous strides, an overarching rationale for the circular sense of color relationships generated by two classes of color opponent neurons and three cone types is still lacking. Here we suggest that color circularity, color opponency and trichromacy may have arisen, at least in part, because of the geometrical requirements needed to unambiguously distinguish all possible spectrally different regions on a plane.

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Introduction to Color

Cited by 27 publications

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Summation of successively established orientation-contingent color aftereffects

Summation of successively established orientation-contingent color aftereffects

Color vision and image intensities: When are changes material?

The Demands of Geometry on Color Vision

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