Cone spacing and the visual resolution limit.

It is commonly assumed that the visual resolution limit must be equal to or less than the Nyquist frequency of the cone mosaic. However, under some conditions, observers can see fine patterns at the correct orientation when viewing interference fringes with spatial frequencies that are as much as about 1.5 times higher than the nominal Nyquist frequency of the underlying cone mosaic. The existence of this visual ability demands a closer scrutiny of the sampling effects of the cone mosaic and the information that is sufficient for an observer to resolve a sinusoidal grating. The Nyquist frequency specifies which images can be reconstructed without aliasing by an imaging system that samples discretely. However, it is not a theoretical upper bound for psychophysical measures of visual resolution because the observer's criteria for resolving sinusoidal gratings are less stringent than the criteria specified by the sampling theorem for perfect, alias-free image reconstruction.

[1]  David Williams Topography of the foveal cone mosaic in the living human eye , 1988, Vision Research.

[2]  W. H. Miller,et al.  Does cone positional disorder limit resolution? , 1987, Journal of the Optical Society of America. A, Optics and image science.

[3]  N J Coletta,et al.  Psychophysical estimate of extrafoveal cone spacing. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[4]  A. Hendrickson,et al.  Distribution of cones in human and monkey retina: individual variability and radial asymmetry. , 1987, Science.

[5]  David R. Williams,et al.  Seeing through the photoreceptor mosaic , 1986, Trends in Neurosciences.

[6]  Harrison H. Barrett,et al.  Hotelling trace criterion as a figure of merit for the optimization of imaging systems , 1986 .

[7]  Andrew B. Watson,et al.  Window of visibility: a psychophysical theory of fidelity in time-sampled visual motion displays , 1986 .

[8]  Terry Bossomaier,et al.  Optical image quality and the cone mosaic. , 1986, Science.

[9]  R. Smith,et al.  Aliasing with incoherent-light stimuli , 1986, Annual Meeting Optical Society of America.

[10]  T. R. J. Bossomaier,et al.  Irregularity and aliasing: Solution? , 1985, Vision Research.

[11]  A. Cowey,et al.  The ganglion cell and cone distributions in the monkey's retina: Implications for central magnification factors , 1985, Vision Research.

[12]  David Williams Aliasing in human foveal vision , 1985, Vision Research.

[13]  D. Williams,et al.  Visibility of interference fringes near the resolution limit. , 1985, Journal of the Optical Society of America. A, Optics and image science.

[14]  L. Thibos,et al.  Detection of high frequency gratings in the periphery , 1985, Annual Meeting Optical Society of America.

[15]  R. Haines,et al.  Displacement thresholds across the horizontal meridian as a function of stimulus rate, duration, and length , 1985, Annual Meeting Optical Society of America.

[16]  John I. Yellott,et al.  Image sampling properties of photoreceptors: A reply to Miller and Bernard , 1984, Vision Research.

[17]  W S Geisler,et al.  Physical limits of acuity and hyperacuity. , 1984, Journal of the Optical Society of America. A, Optics and image science.

[18]  Gary D. Bernard,et al.  Averaging over the foveal receptor aperture curtails aliasing , 1983, Vision Research.

[19]  J. Yellott Spectral consequences of photoreceptor sampling in the rhesus retina. , 1983, Science.

[20]  D. Williams,et al.  Consequences of spatial sampling by a human photoreceptor mosaic. , 1983, Science.

[21]  A. Watson,et al.  Quest: A Bayesian adaptive psychometric method , 1983, Perception & psychophysics.

[22]  J. Yellott Spectral analysis of spatial sampling by photoreceptors: Topological disorder prevents aliasing , 1982, Vision Research.

[23]  G. Westheimer The spatial grain of the perifoveal visual field , 1982, Vision Research.

[24]  D. Borwein,et al.  The ultrastructure of monkey foveal photoreceptors, with special reference to the structure, shape, size, and spacing of the foveal cones. , 1980, The American journal of anatomy.

[25]  William H. Miller,et al.  Ocular Optical Filtering , 1979 .

[26]  H. Wässle,et al.  The mosaic of nerve cells in the mammalian retina , 1978, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[27]  W. H. Miller,et al.  Photoreceptor diameter and spacing for highest resolving power. , 1977, Journal of the Optical Society of America.

[28]  D. G. Green Regional variations in the visual acuity for interference fringes on the retina , 1970, The Journal of physiology.

[29]  F. Campbell,et al.  Visibility of aperiodic patterns compared with that of sinusoidal gratings , 1969, The Journal of physiology.

[30]  J. Goodman Introduction to Fourier optics , 1969 .

[31]  Ronald N. Bracewell,et al.  The Fourier Transform and Its Applications , 1966 .

[32]  D. G. Green,et al.  Optical and retinal factors affecting visual resolution. , 1965, The Journal of physiology.

[33]  M. Stuiver Carbon-14 Content of 18th- and 19th-Century Wood: Variations Correlated with Sunspot Activity , 1965, Science.

[34]  H B BARLOW,et al.  Visual Resolution and the Diffraction Limit , 1965, Science.

[35]  J. Yen On Nonuniform Sampling of Bandwidth-Limited Signals , 1956 .

[36]  G. D. Francia Resolving Power and Information , 1955 .

[37]  George M. Byram,et al.  The Physical and Photochemical Basis of Visual Resolving PowerPart II. Visual Acuity and the Photochemistry of the Retina , 1944 .

[38]  G. M. Byram THE PHYSICAL AND PHOTOCHEMICAL BASIS OF VISUAL RESOLVING POWER , 1944 .