Edge integration and the perception of brightness and darkness.

How do induced brightness and darkness signals from local and remote surfaces interact to determine the final achromatic color percept of a target surface? An emerging theory of achromatic color perception posits that brightness and darkness percepts are computed by weighting and summing the induction signals generated at edges in a scene. This theory also characterizes how neighboring edges interact to modulate the gain of brightness and darkness signals induced from one another. Here we assess evidence for this edge integration theory by means of computational modeling and a psychophysical experiment. We quantitatively show how local and remote edge induction signals in disk-ring displays give rise to either contrast or assimilation effects. Spatial integration of same-polarity edge signals supports a contrast effect, whereas integration of opposite-polarity signals supports an assimilation effect, particularly when the remote induction signal is much stronger than the local induction signal. The results confirm a key prediction of edge integration theory, namely, that strong assimilation effects can lead subjects to ignore the polarity of local edge information when setting achromatic color matches. The conditions necessary for strong assimilation effects are also associated with greater difficulty in setting matches, suggesting that caution is required when interpreting matching data in terms of gain control. We describe several avenues for further study of contrast, assimilation, and gain control.

[1]  T. Vladusich,et al.  Do cortical neurons process luminance or contrast to encode surface properties? , 2006, Journal of neurophysiology.

[2]  Qasim Zaidi,et al.  Lateral interactions within color mechanism in simultaneous induced contrast , 1992, Vision Research.

[3]  E. Land,et al.  Lightness and retinex theory. , 1971, Journal of the Optical Society of America.

[4]  M. Concetta Morrone,et al.  Neuronal Mechanisms for Illusory Brightness Perception in Humans , 2005, Neuron.

[5]  Frank Tong,et al.  Filling-in of visual phantoms in the human brain , 2005, Nature Neuroscience.

[6]  S. Goodman Toward Evidence-Based Medical Statistics. 1: The P Value Fallacy , 1999, Annals of Internal Medicine.

[7]  M. Rudd,et al.  Quantitative properties of achromatic color induction: An edge integration analysis , 2004, Vision Research.

[8]  M. McCourt,et al.  Oriented multiscale spatial filtering and contrast normalization: a parsimonious model of brightness induction in a continuum of stimuli including White, Howe and simultaneous brightness contrast , 2005, Vision Research.

[9]  M. McCourt,et al.  A multiscale spatial filtering account of the White effect, simultaneous brightness contrast and grating induction , 1999, Vision Research.

[10]  S. Shevell,et al.  Brightness induction: Unequal spatial integration with increments and decrements , 2004, Visual Neuroscience.

[11]  H. Helson Studies of anomalous contrast and assimilation. , 1963, Journal of the Optical Society of America.

[12]  James H. Elder,et al.  Psychophysical receptive fields of edge detection mechanisms , 2004, Vision Research.

[13]  David R. Anderson,et al.  Model selection and multimodel inference : a practical information-theoretic approach , 2003 .

[14]  R. W. Bowen Isolation and interaction of ON and OFF pathways in human vision: Contrast discrimination at pattern offset , 1997, Vision Research.

[15]  M. Rudd,et al.  The highest luminance anchoring rule in achromatic color perception: some counterexamples and an alternative theory. , 2005, Journal of vision.

[16]  V. Ekroll,et al.  The peculiar nature of simultaneous colour contrast in uniform surrounds , 2004, Vision Research.

[17]  Hong Zhou,et al.  The coding of uniform colour figures in monkey visual cortex , 2003, The Journal of physiology.

[18]  H. Komatsu,et al.  Neural representation of the luminance and brightness of a uniform surface in the macaque primary visual cortex. , 2001, Journal of neurophysiology.

[19]  P. Bressan,et al.  Simultaneous Lightness Contrast with Double Increments , 2001, Perception.

[20]  K T Mullen,et al.  Bipolar or rectified chromatic detection mechanisms? , 2001, Visual Neuroscience.

[21]  Frans W. Cornelissen,et al.  Functional magnetic resonance imaging of brightness induction in the human visual cortex , 2005, Neuroreport.

[22]  Karl Frederick Arrington,et al.  Directional Filling-in , 1996, Neural Computation.

[23]  Frans W. Cornelissen,et al.  What gets filled-in during filling-in? , 2006, Nature Reviews Neuroscience.

[24]  M. McCourt,et al.  A unified theory of brightness contrast and assimilation incorporating oriented multiscale spatial filtering and contrast normalization , 2004, Vision Research.

[25]  S. Grossberg,et al.  Neural dynamics of form perception: boundary completion, illusory figures, and neon color spreading. , 1985, Psychological review.

[26]  S. Grossberg,et al.  Neural dynamics of 1-D and 2-D brightness perception: A unified model of classical and recent phenomena , 1988, Perception & psychophysics.

[27]  Dorin Popa,et al.  A Theory of the Neural Processes Underlying Edge Integration in Human Lightness Perception , 2004 .

[28]  D. Macleod,et al.  Pre-exposure to contrast selectively compresses the achromatic half-axes of color space , 2000, Vision Research.

[29]  Takeo Watanabe,et al.  The primary visual cortex fills in color , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[30]  Gordon W. Braudaway,et al.  Color calibration of liquid crystal displays , 1999, Electronic Imaging.

[31]  M. White,et al.  A New Effect of Pattern on Perceived Lightness , 1979, Perception.

[32]  M. Rudd,et al.  Darkness filling-in: a neural model of darkness induction , 2001, Vision Research.

[33]  R Shapley,et al.  Contrast and assimilation in the perception of brightness. , 1985, Proceedings of the National Academy of Sciences of the United States of America.

[34]  P. Howe,et al.  White's Effect: Removing the Junctions but Preserving the Strength of the Illusion , 2005, Perception.

[35]  R. von der Heydt,et al.  Coding of Border Ownership in Monkey Visual Cortex , 2000, The Journal of Neuroscience.

[36]  C. Ripamonti,et al.  Classical and Inverted White's Effects , 2001, Perception.

[37]  Laurence T Maloney,et al.  The proximity structure of achromatic surface colors and the impossibility of asymmetric lightness matching , 2006, Perception & psychophysics.

[38]  Alex R. Wade,et al.  No Functional Magnetic Resonance Imaging Evidence for Brightness and Color Filling-In In Early Human Visual Cortex , 2006, The Journal of Neuroscience.

[39]  Edge integration and edge interaction in achromatic color computation , 2004 .

[40]  B. Spehar,et al.  New Configurational Effects on Perceived Contrast and Brightness: Second-Order White's Effects , 1996, Perception.

[41]  Peter H. Schiller,et al.  The ON and OFF channels of the visual system , 1992, Trends in Neurosciences.

[42]  B. Farell,et al.  Influence of target size and luminance on the White–Todorović effect , 2005, Vision Research.

[43]  Charles Chubb,et al.  Brightness assimilation in bullseye displays , 2004, Vision Research.

[44]  S. Goodman,et al.  Toward Evidence-Based Medical Statistics. 2: The Bayes Factor , 1999, Annals of Internal Medicine.

[45]  L. Spillmann,et al.  Assimilation: Asymmetry between brightness and darkness? , 1995, Vision Research.

[46]  D. Posada,et al.  Model selection and model averaging in phylogenetics: advantages of akaike information criterion and bayesian approaches over likelihood ratio tests. , 2004, Systematic biology.

[47]  S Grossberg,et al.  Neural dynamics of brightness perception: Features, boundaries, diffusion, and resonance , 1984, Perception & Psychophysics.

[48]  S. Shevell,et al.  Brightness contrast and assimilation from patterned inducing backgrounds , 2004, Vision Research.

[49]  D. Heeger Modeling simple-cell direction selectivity with normalized, half-squared, linear operators. , 1993, Journal of neurophysiology.