Statistics of Natural Images and Models

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Statistics of Natural Images and Models

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Title: Statistics of Natural Images and Models
Author: Huang, Jinggang; Mumford, David Bryant

Note: Order does not necessarily reflect citation order of authors.

Citation: Huang, Jinggang, and David Bryant Mumford. 1999. Statistics of natural images and models. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition: June 23-25, 1999, Fort Collins, Colorado, ed. IEEE Computer Society, 541-547. Los Alamitos, CA: IEEE Computer Society Press.
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Abstract: Large calibrated datasets of `random' natural images have recently become available. These make possible precise and intensive statistical studies of the local nature of images. We report results ranging from the simplest single pixel intensity to joint distribution of 3 Haar wavelet responses. Some of these statistics shed light on old issues such as the near scale-invariance of image statistics and some are entirely new. We fit mathematical models to some of the statistics and explain others in terms of local image features
Published Version: doi:10.1109/CVPR.1999.786990
Other Sources: http://www.dam.brown.edu/people/mumford/Papers/DigitizedVisionPapers--forNonCommercialUse/99--ImageStats-Huang.pdf
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:3720032
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