Statistical image fusion with generalised gaussian and alpha-stable distributions

被引：0

作者：

Loza, Artur ^{[1
]}

Achim, Alin ^{[1
]}

Bull, David ^{[1
]}

Canagarajah, Nishan ^{[1
]}

机构：

[1] Univ Bristol, Dept Elect & Elect Engn, Bristol BS8 1TH, Avon, England

来源：

PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年

关键词：

image fusion; statistical modelling; multimodal;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper describes a new methodology for multimodal image fusion based on non-Gaussian statistical modelling of wavelet coefficients of the input images. The use of families of generalised Gaussian and alpha-stable distributions for modelling image wavelet coefficients is investigated and methods for estimating distribution parameters are proposed. Improved techniques for image fusion are developed, by incorporating these models into the weighted average image fusion algorithm. The superior performance of the proposed methods is demonstrated using multimodal image datasets.

引用

页码：268 / +

页数：2

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