Why is second-order vision less efficient than first-order vision?

Research has shown that the sensitivity to second-order modulations of carrier contrast is lower than that to first-order luminance modulations stimuli. We sought to compare the efficiency of processing first- and second-order information. Employing a phase-discrimination paradigm we found that when humans were given sufficient a priori information of signal parameters they detected both luminance and contrast modulations of 0.6 and 2c/deg by a phase-sensitive algorithm. The overall detection efficiency for second-order patterns, however, was lower that that for first-order stimuli. To study the factors which limit the efficiency of first- and second-order vision, we measured detection performance for luminance and contrast modulations of 0.6 and 2c/deg embedded in Gaussian noise. The results showed that the detection of second-order patterns had lower sampling efficiency and higher additive internal noise as compared to the detection of first-order stimuli. Classification images for detecting contrast modulations of 2c/deg resembled the side-band component of the contrast modulations which suggests that human observers may detect contrast modulations of a sinusoidal carrier using first-order luminance channels. The lower sensitivity of the mechanism detecting second-order patterns might be due to higher levels of additive internal noise and lower sampling efficiency than those of the mechanism analysing first-order patterns.

[1]  P. Cavanagh,et al.  Motion: the long and short of it. , 1989, Spatial vision.

[2]  H. Barlow The efficiency of detecting changes of density in random dot patterns , 1978, Vision Research.

[3]  G. Vining,et al.  Data Analysis: A Model-Comparison Approach , 1989 .

[4]  Andrew B. Watson,et al.  Image quality and entropy masking , 1997, Electronic Imaging.

[5]  A. E. Burgess,et al.  Vision: High level visual decision efficiencies , 1991 .

[6]  Christopher W Tyler,et al.  Separating the effects of response nonlinearity and internal noise psychophysically , 2002, Vision Research.

[7]  H. Wilson,et al.  A psychophysically motivated model for two-dimensional motion perception , 1992, Visual Neuroscience.

[8]  R Marken,et al.  Time and frequency analyses of auditory signal detection. , 1975, The Journal of the Acoustical Society of America.

[9]  M. Georgeson,et al.  Sensitivity to modulations of luminance and contrast in visual white noise: separate mechanisms with similar behaviour , 1999, Vision Research.

[10]  Michael S. Landy,et al.  Noise in the Visual System May Be Early , 1991 .

[11]  Larry N. Thibos,et al.  Validation of a clinical aberrometer , 2002 .

[12]  Christopher W. Tyler,et al.  One Eye is Usually Centred Horizontally (and near the Golden Section Vertically) in Portraits over the Past 500 Years , 1997 .

[13]  J G Daugman,et al.  Demodulation, predictive coding, and spatial vision. , 1995, Journal of the Optical Society of America. A, Optics, image science, and vision.

[14]  Michael S. Landy,et al.  Computational models of visual processing , 1991 .

[15]  A. Ahumada Classification image weights and internal noise level estimation. , 2002, Journal of vision.

[16]  N. Nagaraja,et al.  Effect of Luminance Noise on Contrast Thresholds , 1964 .

[17]  G. Legge,et al.  Contrast discrimination in noise. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[18]  Miguel P Eckstein,et al.  Classification image analysis: estimation and statistical inference for two-alternative forced-choice experiments. , 2002, Journal of vision.

[19]  G. Sperling,et al.  Drift-balanced random stimuli: a general basis for studying non-Fourier motion perception. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[20]  Theodore G. Birdsall,et al.  Definitions of d′ and η as Psychophysical Measures , 1958 .

[21]  Helle K. Falkenberg,et al.  Sampling efficiency and internal noise for motion detection, discrimination, and summation , 2003, Vision Research.

[22]  D. Kersten Spatial summation in visual noise , 1984, Vision Research.

[23]  M. Georgeson,et al.  The temporal properties of first- and second-order vision , 2000, Vision Research.

[24]  B L Beard,et al.  Detection in fixed and random noise in foveal and parafoveal vision explained by template learning. , 1999, Journal of the Optical Society of America. A, Optics, image science, and vision.

[25]  H Ghandeharian,et al.  Visual signal detection. I. Ability to use phase information. , 1984, Journal of the Optical Society of America. A, Optics and image science.

[26]  R. F. Wagner,et al.  Efficiency of human visual signal discrimination. , 1981, Science.

[27]  Neil A. Macmillan,et al.  Detection Theory: A User's Guide , 1991 .

[28]  A. Ahumada,et al.  Stimulus Features in Signal Detection , 1971 .

[29]  M P Eckstein,et al.  Visual signal detection in structured backgrounds. II. Effects of contrast gain control, background variations, and white noise. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[30]  B. Dosher,et al.  Characterizing human perceptual inefficiencies with equivalent internal noise. , 1999, Journal of the Optical Society of America. A, Optics, image science, and vision.

[31]  D. Pelli The quantum efficiency of vision , 1990 .

[32]  A E Burgess,et al.  Visual signal detection. IV. Observer inconsistency. , 1988, Journal of the Optical Society of America. A, Optics and image science.

[33]  D. M. Green,et al.  Signal detection theory and psychophysics , 1966 .

[34]  Colin Blakemore,et al.  Vision: Coding and Efficiency , 1991 .

[35]  H. Levitt Transformed up-down methods in psychoacoustics. , 1971, The Journal of the Acoustical Society of America.

[36]  William A. Simpson,et al.  Temporal properties of the visual responses to luminance and contrast modulated noise , 2003, Vision Research.

[37]  Denis G. Pelli,et al.  Accurate control of contrast on microcomputer displays , 1991, Vision Research.

[38]  A. Ahumada Perceptual Classification Images from Vernier Acuity Masked by Noise , 1996 .