Modeling the joint statistics of images in the wavelet domain

被引：104

作者：

Simoncelli, EP ^{[1
]}

机构：

[1] NYU, Ctr Neural Sci, New York, NY 10012 USA

来源：

WAVELET APPLICATIONS IN SIGNAL AND IMAGE PROCESSING VII | 1999年 / 3813卷

关键词：

image model; wavelet; statistical inference; non-Gaussian statistics;

D O I：

10.1117/12.366779

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页码：188 / 195

页数：4

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