Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising

M. J. Wainwright; E. P. Simoncelli; A. S. Willsky

Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising

M. J. Wainwright, E. P. Simoncelli, A. S. Willsky

Neural Science

Research output: Contribution to conference › Paper › peer-review

Abstract

A semi-parametric class of non-Gaussian multiscale statistical processes defined by random cascades on wavelet trees were developed. It was shown that the models accurately fit both the marginal and joint histograms of wavelet coefficients from natural images. In addition, applications of such models to denoising both 1D signals and natural images were highlighted.

Original language	English (US)
Pages	260-263
Number of pages	4
State	Published - 2000
Event	International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: Sep 10 2000 → Sep 13 2000

Other

Other	International Conference on Image Processing (ICIP 2000)
Country/Territory	Canada
City	Vancouver, BC
Period	9/10/00 → 9/13/00

ASJC Scopus subject areas

Hardware and Architecture
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

Cite this

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title = "Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising",

abstract = "A semi-parametric class of non-Gaussian multiscale statistical processes defined by random cascades on wavelet trees were developed. It was shown that the models accurately fit both the marginal and joint histograms of wavelet coefficients from natural images. In addition, applications of such models to denoising both 1D signals and natural images were highlighted.",

author = "Wainwright, {M. J.} and Simoncelli, {E. P.} and Willsky, {A. S.}",

year = "2000",

language = "English (US)",

pages = "260--263",

note = "International Conference on Image Processing (ICIP 2000) ; Conference date: 10-09-2000 Through 13-09-2000",

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T1 - Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising

AU - Wainwright, M. J.

AU - Simoncelli, E. P.

AU - Willsky, A. S.

PY - 2000

Y1 - 2000

N2 - A semi-parametric class of non-Gaussian multiscale statistical processes defined by random cascades on wavelet trees were developed. It was shown that the models accurately fit both the marginal and joint histograms of wavelet coefficients from natural images. In addition, applications of such models to denoising both 1D signals and natural images were highlighted.

AB - A semi-parametric class of non-Gaussian multiscale statistical processes defined by random cascades on wavelet trees were developed. It was shown that the models accurately fit both the marginal and joint histograms of wavelet coefficients from natural images. In addition, applications of such models to denoising both 1D signals and natural images were highlighted.

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M3 - Paper

AN - SCOPUS:0034443277

SP - 260

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T2 - International Conference on Image Processing (ICIP 2000)

Y2 - 10 September 2000 through 13 September 2000

ER -

Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denoising

Abstract

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ASJC Scopus subject areas

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