Large-scale failures of f 2 a scaling in natural image spectra

Several studies have demonstrated that the power spectra of natural image ensembles scale as f . A stronger claim that has been made is that the power spectra of single natural images typically also scale as f . Results are presented that challenge this latter claim. The results are based on a method for estimating large-scale structure in single images that compares aliasing artifacts produced by image windows of different shape. Failures of f 2a scaling are found at large scales in many natural images. These failures cannot be accounted for by f 2a scaling models such as a linear superposition model or a model based on two-dimensional occlusions in the image plane. The results imply that claims about f 2a scaling in single natural images have been exaggerated. The results also offer insight into why such failures of f 2a scaling occur. © 2000 Optical Society of America [S0740-3232(00)00301-X] OCIS codes: 100.2960, 100.2000, 070.2590, 070.4790, 330.5000, 330.6130.

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

[2]  J. Hailman Ecology of Vision , 1981 .

[3]  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.

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

[5]  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.

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

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

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

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

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

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

[12]  D. Field,et al.  Visual sensitivity, blur and the sources of variability in the amplitude spectra of natural scenes , 1997, Vision Research.

[13]  J. H. Hateren,et al.  Independent component filters of natural images compared with simple cells in primary visual cortex , 1998 .

[14]  T Troscianko,et al.  Color and luminance information in natural scenes. , 1998, Journal of the Optical Society of America. A, Optics, image science, and vision.