Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes

[1]  D. Tolhurst,et al.  Band-limited contrast in natural images explains the detectability of changes in the amplitude spectra , 1997, Vision Research.

[2]  Peter J. Bex,et al.  Independent coding across spatial scales in moving fractal images , 1997, Vision Research.

[3]  J. H. van Hateren,et al.  Modelling the Power Spectra of Natural Images: Statistics and Information , 1996, Vision Research.

[4]  David J. Field,et al.  Emergence of simple-cell receptive field properties by learning a sparse code for natural images , 1996, Nature.

[5]  Daniel L. Ruderman,et al.  Origins of scaling in natural images , 1996, Vision Research.

[6]  David J. Tolhurst,et al.  Detection of changes in the amplitude spectra of natural images is explained by a band-limited local-contrast model , 1996, Electronic Imaging.

[7]  Steven W. Zucker,et al.  Local Scale Control for Edge Detection and Blur Estimation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  D. Field,et al.  What's constant in contrast constancy? The effects of scaling on the perceived contrast of bandpass patterns , 1995, Vision Research.

[9]  David J. Field,et al.  What Is the Goal of Sensory Coding? , 1994, Neural Computation.

[10]  D. Tolhurst,et al.  Discrimination of changes in the second-order statistics of natural and synthetic images , 1994, Vision Research.

[11]  William Bialek,et al.  Statistics of Natural Images: Scaling in the Woods , 1993, NIPS.

[12]  J. H. van Hateren,et al.  Real and optimal neural images in early vision , 1992, Nature.

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

[14]  D. Tolhurst,et al.  Amplitude spectra of natural images , 1992 .

[15]  Joseph J. Atick,et al.  What Does the Retina Know about Natural Scenes? , 1992, Neural Computation.

[16]  J. Wallman,et al.  The regulation of eye growth and refractive state: An experimental study of emmetropization , 1991, Vision Research.

[17]  E. Peli,et al.  Image enhancement for the visually impaired. Simulations and experimental results. , 1991, Investigative ophthalmology & visual science.

[18]  D. Field,et al.  Human discrimination of fractal images. , 1990, Journal of the Optical Society of America. A, Optics and image science.

[19]  R F Hess,et al.  How are spatial filters used in fovea and parafovea? , 1989, Journal of the Optical Society of America. A, Optics and image science.

[20]  W. N. Charman,et al.  Visual sensitivity to temporal change in focus and its relevance to the accommodation response , 1988, Vision Research.

[21]  D J Field,et al.  Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.

[22]  Eli Peli,et al.  Image Enhancement For The Visually Impaired , 1984 .

[23]  R. Watt,et al.  The recognition and representation of edge blur: Evidence for spatial primitives in human vision , 1983, Vision Research.

[24]  S. Laughlin,et al.  Predictive coding: a fresh view of inhibition in the retina , 1982, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[25]  D. Tolhurst,et al.  On the variety of spatial frequency selectivities shown by neurons in area 17 of the cat , 1981, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[26]  J. Galayda.  Edge Focusing , 1981, IEEE Transactions on Nuclear Science.

[27]  C. A. Dvorak,et al.  Detection and discrimination of blur in edges and lines , 1981 .

[28]  Jeffrey A. Sloan,et al.  Spatial frequency analysis of the visual environment: Anisotropy and the carpentered environment hypothesis , 1978, Vision Research.

[29]  E. Kretzmer.  Statistics of television signals , 1952 .

[30]  J. V. van Hateren,et al.  Modelling the power spectra of natural images: statistics and information. , 1996, Vision research.

[31]  L. Croner,et al.  Receptive fields of P and M ganglion cells across the primate retina , 1995, Vision Research.

[32]  D. Ruderman.  The statistics of natural images , 1994 .

[33]  Leslie S. Smith,et al.  The principal components of natural images , 1992 .

[34]  D. Tolhurst,et al.  Amplitude spectra of natural images. , 1992, Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians.

[35]  J. V. van Hateren,et al.  Real and optimal neural images in early vision , 1992, Nature.

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

[37]  G. J. Burton,et al.  Color and spatial structure in natural scenes. , 1987, Applied optics.