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Cited by 941

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The statistics of natural images

Ruderman, Daniel·1994·Network: Computation in Neural Systems

Abstract

Recently there has been a resurgence of interest in the properties of natural images. Their statistics are important not only in image compression but also for the study of sensory processing in biology, which can be viewed as satisfying certain ‘design criteria’. This review summarizes previous work on image statistics and presents our own data. Perhaps the most notable property of natural images is an invariance to scale. We present data to support this claim as well as evidence for a hierarchical invariance in natural scenes. These symmetries provide a powerful description of natural images as they greatly restrict the class of allowed distributions.

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Metadata

Authors
Ruderman, D.
Venue
Network: Computation in Neural Systems
Published
1994-11-01
Volume
5
Issue
4
Pages
517-548
ISSN
  • 0954-898X (ISSN-L)
  • 1361-6536
OpenAlex
W2120838001
Cited by
941
References
4
FWCI
4.64
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The statistics of natural images. https://app.cochat.ai/papers/10.1088/0954-898x/5/4/006
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Ruderman, D. (1994). The statistics of natural images. Network: Computation in Neural Systems. https://doi.org/10.1088/0954-898x/5/4/006

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.