Higher-order statistical models of visual images

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper examines the empirical densities of natural photographic images, and shows that although they are highly non-Gaussian, they are quite regular and may be described using fairly simple parameterized density models. Two such models are described, and their ability to account for image content is demonstrated.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-57
Number of pages4
ISBN (Electronic)0769501400, 9780769501406
DOIs
StatePublished - 1999
Event1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 - Caesarea, Israel
Duration: Jun 14 1999Jun 16 1999

Publication series

NameProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999

Other

Other1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
CountryIsrael
CityCaesarea
Period6/14/996/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Statistics and Probability

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