Brightness and Darkness as Perceptual Dimensions

Laboratory of Experimental Ophthalmology & BCN NeuroImaging Centre, School of Behavioural and Cognitive Neurosciences, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
PLoS Computational Biology (Impact Factor: 4.62). 11/2007; 3(10):e179. DOI: 10.1371/journal.pcbi.0030179
Source: PubMed


Author Summary

Vision scientists have long adhered to the classic opponent-coding theory of vision, which states that bright–dark, red–green, and blue–yellow form mutually exclusive color pairs. According to this theory, it is not possible to see both brightness and darkness at a single spatial location, or an extended set of locations, such as a uniform surface. One corollary of this statement is that all perceivable grey shades vary along a continuum from bright to dark. At first glance, the notion that brightness and darkness cannot coexist on a single surface accords with our common-sense notion that a given grey shade cannot be simultaneously both brighter and darker than any other grey shade. The results presented here suggest that this common-sense notion is not supported by experimental data. Our results imply that a given grey shade can indeed be simultaneously brighter and darker than another grey shade. This seemingly paradoxical conclusion arises naturally if one assumes that brightness and darkness constitute the dimensions of a two-dimensional perceptual space in which points represent grey shades. Our results may encourage scientists working in related fields to question the assumption that perceptual variables, rather than sensory variables, are encoded in opponent pairs.

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Available from: Marcel Lucassen, Oct 04, 2015
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    • "Perhaps most significantly, they differ with respect to the status of the spatial integration of spatially oriented lightness and darkness induction signals. Gamut relativity theory models lightness and darkness as separate dimensions of achromatic color, which remain distinct up to the level of human awareness (Vladusich et al., 2007; Vladusich, 2013a). Edge integration theory, on the other hand, assumes that positive and negative luminance steps can be neurally bound to form a single dimensions of surface reflectance. "
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    ABSTRACT: Previous work has demonstrated that perceived surface reflectance (lightness) can be modeled in simple contexts in a quantitatively exact way by assuming that the visual system first extracts information about local, directed steps in log luminance, then spatially integrates these steps along paths through the image to compute lightness (Rudd and Zemach, 2004, 2005, 2007). This method of computing lightness is called edge integration. Recent evidence (Rudd, 2013) suggests that human vision employs a default strategy to integrate luminance steps only along paths from a common background region to the targets whose lightness is computed. This implies a role for gestalt grouping in edge-based lightness computation. Rudd (2010) further showed the perceptual weights applied to edges in lightness computation can be influenced by the observer's interpretation of luminance steps as resulting from either spatial variation in surface reflectance or illumination. This implies a role for top-down factors in any edge-based model of lightness (Rudd and Zemach, 2005). Here, I show how the separate influences of grouping and attention on lightness can be modeled in tandem by a cortical mechanism that first employs top-down signals to spatially select regions of interest for lightness computation. An object-based network computation, involving neurons that code for border-ownership, then automatically sets the neural gains applied to edge signals surviving the earlier spatial selection stage. Only the borders that survive both processing stages are spatially integrated to compute lightness. The model assumptions are consistent with those of the cortical lightness model presented earlier by Rudd (2010, 2013), and with neurophysiological data indicating extraction of local edge information in V1, network computations to establish figure-ground relations and border ownership in V2, and edge integration to encode lightness and darkness signals in V4.
    Frontiers in Human Neuroscience 08/2014; 8:640. DOI:10.3389/fnhum.2014.00640 · 2.99 Impact Factor
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    • "Vladusich et al. (2006) pointed out that the 'peculiar nature of chromatic contrast' (Ekroll et al., 2004) could be a basis for an interpretation of red, green, blue, and yellow qualia as independent non-opponent chromatic dimensions. Vladusich et al. (2007) demonstrated that redness and greenness fail to cancel each other in certain chromatic contrast configurations and suggested a six-dimensional unipolar color space. "
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    ABSTRACT: According to Hering's color theory, certain hues (red vs green and blue vs yellow) are mutually exclusive as components of a single color; consequently a color cannot be perceived as reddish-green or bluish-yellow. The goal of our study is to test this key postulate of the opponent color theory. Using the method of adjustment, our observers determine the boundaries of chromatic zones in a red-green continuum. We demonstrate on two distinct stimulus sets, one formed using a chromatic grid and neon spreading and the other based on solid colored regions, that the chromatic contrast of a purple surround over a red figure results in perception of 'forbidden' reddish-green colors. The observed phenomenon can be understood as resulting from the construction of a virtual filter, a process that bypasses photoreceptor summation and permits forbidden color combinations. Showing that opponent hue combinations, previously reported only under artificial image stabilization, can be present in normal viewing conditions offers new approaches for the experimental study of the dimensionality and structure of perceptual color space.
    Seeing and perceiving 02/2011; 24(1):1-17. DOI:10.1163/187847510X547021 · 1.32 Impact Factor
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    • "Several investigators have noted that making truly satisfactory asymmetric colour matches is sometimes difficult, if not even impossible (Gelb, 1929; Ekroll et al., 2004; Faul et al., 2008; Vladusich et al., 2007). One may therefore surmise that different observers adopt different strategies and criteria when confronted with such problems. "
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    ABSTRACT: We present the results of an experiment aiming to clarify the relation between simultaneous colour contrast and Brown and MacLeod's (1997) gamut expansion effect. These two context effects are often thought to be due to two different mechanisms, but this assumption has not previously been subjected to empirical test. Here we used inter-individual variability in the susceptibility to these effects to test this assumption. The individual variability was found to be quite substantial for both context effects. As would be expected if a common underlying mechanism contributes to both effects, a significant correlation across observers was found. It is suggested that this putatively common mechanism of 'crispening' accounts completely for the gamut expansion effect, and partially for the simultaneous colour contrast effect, which seems to depend on von Kries adaptation also.
    Vision research 02/2011; 51(3):311-22. DOI:10.1016/j.visres.2010.11.009 · 1.82 Impact Factor
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