PROBABILISTIC IMAGE MODEL AND ITS INFORMATION-THEORETIC PROPERTIES

被引：0

作者：

ZHANG, YQ ^{[1
]}

LOEW, MH ^{[1
]}

PICKHOLTZ, RL ^{[1
]}

机构：

[1] GEORGE WASHINGTON UNIV,DEPT ELECT ENGN & COMP SCI,WASHINGTON,DC 20052

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1993年 / 41卷 / 01期

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this correspondence, we propose a method to construct a class of correlated non-Gaussian source from a specified first-order distribution and correlation structure. The obtained source model is based on a nonlinear transformation from a correlated Gaussian source, and forms a special class of the Gibbs distribution. Its entropy properties and rate-distortion performance are examined. An example is also given to illustrate the construction process and the characteristics of the source model.

引用

页码：508 / 510

页数：3

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