Statistical Image Fusion with Generalised Gaussian and Alpha-Stable Distributions

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...

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Bibliographic Details
Published in2007 15th International Conference on Digital Signal Processing pp. 268 - 271
Main Authors Loza, A., Achim, A., Bull, D., Canagarajah, N.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
Subjects
Gaussian distribution
Humans
Image analysis
Image fusion
Image processing
Layout
multimodal
Parameter estimation
statistical modelling
Wavelet analysis
Wavelet coefficients
Wavelet transforms
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Summary: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.
ISBN:1424408814
9781424408818
ISSN:1546-1874
2165-3577
DOI:10.1109/ICDSP.2007.4288570