Modeling the joint statistics of images in the wavelet domain

Research output: Contribution to journalConference articlepeer-review

Abstract

I describe a statistical model for natural photographic images, when decomposed in a multi-scale wavelet basis. In particular, I examine both the marginal and pairwise joint histograms of wavelet coefficients at adjacent spatial locations, orientations, and spatial scales. Although the histograms are highly non-Gaussian, they are nevertheless well described using fairly simple parameterized density models.

Original languageEnglish (US)
Pages (from-to)188-195
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3813
StatePublished - 1999
EventProceedings of the 1999 Wavelet Applications in Signal and Image Processing VII - Denver, CO, USA
Duration: Jul 19 1999Jul 23 1999

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint

Dive into the research topics of 'Modeling the joint statistics of images in the wavelet domain'. Together they form a unique fingerprint.

Cite this