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 contribution | Statistical image fusion with generalised Gaussian and alpha-stable distributions |
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Original language | English |
Title of host publication | 15th International Conference on Digital Signal Processing (DSP 2007) Wales, UK |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 268 - 271 |
Number of pages | 4 |
ISBN (Print) | 1424408822 |
DOIs | |
Publication status | Published - Jul 2007 |
Event | 15th International Conference on Digital Signal Processing - Cardiff, United Kingdom Duration: 1 Jul 2007 → … |
Conference
Conference | 15th International Conference on Digital Signal Processing |
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Country/Territory | United Kingdom |
City | Cardiff |
Period | 1/07/07 → … |
Bibliographical note
Rose publication type: Conference contributionSponsorship: 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
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Keywords
- image fusion
- statistical modelling
- multimodal