Mechanisms of contrast induction in heterogeneous displays

This study examines how judgments of a region's contrast are influenced by components of a heterogeneous surround. Each stimulus comprised a 5x5 grid of squares in a homogeneous background of fixed mean luminance, with the central square the target. On a given trial, the task was to judge (with feedback) whether the (Weber) contrast of the target was 0.04 or -0.04 (relative to the background); the contrasts assigned (in random order) to the 24 surrounding squares were drawn from the values -0.98, -0.33, 0.33, 0.98 in conformity to one of nine pre-chosen histograms. Presentations were brief (80 ms) in one condition and long (800 ms) in another. A novel psychophysical method was used to estimate the impact exerted on judged target contrast (JTC) by a given contrast in a given grid position. Results were similar for four observers. For both display durations, the four squares sharing an edge with the target influenced JTC 2.4-9 times more than any other surrounding squares. In long presentations, abutting squares of extreme contrast repelled target contrast: squares of contrast -0.98 (0.98) increased (decreased) JTC. However, lower contrast abutting squares attracted target contrast: squares of contrast -0.33 (0.33) decreased (increased) JTC. This central finding can be explained by supposing that: (a) JTC is strongly correlated with the average boundary contrast from surround to target, as registered by linear, edge-selective neurons, and, crucially, (b) the responses of these neurons are themselves subject to lateral inhibition from the rectified responses of other similarly tuned neurons. Finally, in brief presentations, a polarity-specific asymmetry was observed: the two positive abutting-square contrasts continued to influence JTC as they did in long presentations, but contrasts -0.33 and -0.98 ceased to exert much impact, suggesting that lateral influences on target appearance propagate more quickly from positive than from negative contrast abutting regions.

[1]  J A Solomon,et al.  Texture interactions determine perceived contrast , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[2]  D. Knill,et al.  Apparent surface curvature affects lightness perception , 1991, Nature.

[3]  M. D'Zmura,et al.  Contrast gain control: a bilinear model for chromatic selectivity. , 1995, Journal of the Optical Society of America. A, Optics, image science, and vision.

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

[5]  D Purves,et al.  An empirical explanation of brightness. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[6]  Vision Research , 1961, Nature.

[7]  H. Wallach.  Brightness constancy and the nature of achromatic colors. , 1948, Journal of experimental psychology.

[8]  G. Sperling,et al.  The lateral inhibition of perceived contrast is indifferent to on-center/off-center segregation, but specific to orientation , 1993, Vision Research.

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

[10]  D. Jameson,et al.  Theory of brightness and color contrast in human vision. , 1964, Vision research.

[11]  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.

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

[13]  A. Gilchrist,et al.  An anchoring theory of lightness perception. , 1999 .

[14]  H. K. Hartline,et al.  INHIBITION IN THE EYE OF LIMULUS , 1956, The Journal of general physiology.

[15]  D G Pelli,et al.  The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.

[16]  D. Purves,et al.  The influence of depicted illumination on brightness. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[17]  J. Bonet,et al.  Comparison between Spatial Interactions in Perceived Contrast and Perceived Brightness , 1997, Vision Research.

[18]  B. Spehar,et al.  Brightness Induction from Uniform and Complex Surrounds: A General Model , 1996, Vision Research.

[19]  Chubb,et al.  Texture-Based Methods for Analyzing Elementary Visual Substances. , 1999, Journal of mathematical psychology.

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

[21]  Qasim Zaidi,et al.  Induced contrast from radial patterns , 1993, Vision Research.

[22]  P. Whittle,et al.  Two separate neural mechanisms of brightness induction , 1992, Vision Research.

[23]  M. Cannon,et al.  A model for inhibitory lateral interaction effects in perceived contrast , 1996, Vision Research.

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

[25]  F. Kingdom,et al.  A multi-channel approach to brightness coding , 1992, Vision Research.

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

[27]  Nicholas George.  THE ANNUAL MEETING OF THE OPTICAL SOCIETY OF AMERICA. , 1944, Science.

[28]  A. Logvinenko.  Lightness Induction Revisited , 1999, Perception.

[29]  P. O. Bishop,et al.  Spatial vision. , 1971, Annual review of psychology.

[30]  D H Brainard,et al.  The Psychophysics Toolbox. , 1997, Spatial vision.

[31]  P. Bressan.  Explaining Lightness Illusions , 2001, Perception.

[32]  D Purves,et al.  An Empirical Explanation of the Cornsweet Effect , 1999, The Journal of Neuroscience.

[33]  M. McCourt,et al.  A multiscale spatial filtering account of the Wertheimer–Benary effect and the corrugated Mondrian , 2001, Vision Research.

[34]  M. McCourt,et al.  Similar mechanisms underlie simultaneous brightness contrast and grating induction , 1997, Vision Research.

[35]  Ken Nakayama,et al.  Brightness perception and filling-in , 1991, Vision Research.

[36]  M. McCourt,et al.  Brightness with and without Perceived Transparency: When Does it Make a Difference? , 1997, Perception.

[37]  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.

[38]  E. Adelson.  Perceptual organization and the judgment of brightness. , 1993, Science.

[39]  Lynn A Olzak,et al.  Multiple gain control processes in contrast–contrast phenomena , 1999, Vision Research.

[40]  Stephen R. Ellis,et al.  Response Classification Images in Vernier Acuity , 1997 .

[41]  S. W. Kuffler.  Discharge patterns and functional organization of mammalian retina. , 1953, Journal of neurophysiology.

[42]  A. Gilchrist.  Perceived lightness depends on perceived spatial arrangement. , 1977, Science.

[43]  M. D'Zmura,et al.  Color contrast induction , 1994, Vision Research.

[44]  Alessandra Galmonte,et al.  Perceptual Organization Overcomes the Effects of Local Surround in Determining Simultaneous Lightness Contrast , 2002, Psychological science.

[45]  M. Landy,et al.  Histogram contrast analysis and the visual segregation of IID textures. , 1994, Journal of the Optical Society of America. A, Optics, image science, and vision.