Real-world visual scenes display consistent first- and second-order statistical regularities to which visual neural representations may be perceptually matched, but these lower-order regularities stem from constraints on image power spectra, which appear to carry much less perceptual information than image phase spectra. Natural scenes are shown also to display consistent higher-order statistical regularities, and an analysis of these regularities in terms of fourth-order spectra shows that they are strongly dependent on spatial frequency. These findings have important consequences for the design of a visual system that aims to maximize sparseness in neural representations.
© 1999 Optical Society of America
(030.1640) Coherence and statistical optics : Coherence
(110.2960) Imaging systems : Image analysis
(330.4060) Vision, color, and visual optics : Vision modeling
(330.6110) Vision, color, and visual optics : Spatial filtering
Mitchell G. A. Thomson, "Higher-order structure in natural scenes," J. Opt. Soc. Am. A 16, 1549-1553 (1999)