Statistical image fusion with generalised Gaussian and Alpha-Stable distributions

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Abstract

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
Translated title of the contributionStatistical image fusion with generalised Gaussian and alpha-stable distributions
Original languageEnglish
Title of host publication15th International Conference on Digital Signal Processing (DSP 2007) Wales, UK
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages268 - 271
Number of pages4
ISBN (Print)1424408822
DOIs
Publication statusPublished - Jul 2007
Event15th International Conference on Digital Signal Processing - Cardiff, United Kingdom
Duration: 1 Jul 2007 → …

Conference

Conference15th International Conference on Digital Signal Processing
CountryUnited Kingdom
CityCardiff
Period1/07/07 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: The authors are grateful for the financial support offered to project 2.1 'Image and video sensor fusion' by the UK MOD Data and Information Fusion Defence Technology Centre

Terms of use: Copyright © 2007 IEEE. Reprinted from 15th International Conference on Digital Signal Processing, 2007.

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Keywords

  • image fusion
  • statistical modelling
  • multimodal

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