Estimates of the information content and dimensionality of natural scenes from proximity distributions
JOSA A, Vol. 24, Issue 4, pp. 922-941 (2007)
http://dx.doi.org/10.1364/JOSAA.24.000922
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Abstract
Natural scenes, like most all natural data sets, show considerable redundancy. Although many forms of redundancy have been investigated (e.g., pixel distributions, power spectra, contour relationships, etc.), estimates of the true entropy of natural scenes have been largely considered intractable. We describe a technique for estimating the entropy and relative dimensionality of image patches based on a function we call the proximity distribution (a nearest-neighbor technique). The advantage of this function over simple statistics such as the power spectrum is that the proximity distribution is dependent on all forms of redundancy. We demonstrate that this function can be used to estimate the entropy (redundancy) of
© 2007 Optical Society of America
OCIS Codes
(100.7410) Image processing : Wavelets
(330.1800) Vision, color, and visual optics : Vision - contrast sensitivity
(330.1880) Vision, color, and visual optics : Detection
(330.5020) Vision, color, and visual optics : Perception psychology
(330.5510) Vision, color, and visual optics : Psychophysics
ToC Category:
Vision and color
History
Original Manuscript: May 30, 2006
Manuscript Accepted: September 29, 2006
Published: March 14, 2007
Virtual Issues
Vol. 2, Iss. 5 Virtual Journal for Biomedical Optics
Citation
Damon M. Chandler and David J. Field, "Estimates of the information content and dimensionality of natural scenes from proximity distributions," J. Opt. Soc. Am. A 24, 922-941 (2007)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-24-4-922
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