Statistical model-based fusion of noisy multi-band images in the wavelet domain

AT Loza; AM Achim; DR Bull; CN Canagarajah

doi:10.1109/ICIF.2007.4407977

Statistical model-based fusion of noisy multi-band images in the wavelet domain

AT Loza, AM Achim, DR Bull, CN Canagarajah

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

4 Citations (Scopus)

423 Downloads (Pure)

Abstract

A new method for multimodal image fusion, based on statistical modelling of wavelet coefficients, is proposed in this paper. The algorithm draws from the weighted average scheme, but incorporates Laplacian bivariate parent-child statistical dependencies. The interscale dependency is brought in the form of shrinkage functions. The proposed method has been shown to perform very well with noisy datasets, outperforming other conventional methods in terms of fusion quality and noise reduction in the fused output

Translated title of the contribution	Statistical model-based fusion of noisy multi-band images in the wavelet domain
Original language	English
Title of host publication	10th Conference of the International Society of Information Fusion, Quebec, Canada
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	1 - 6
Number of pages	6
ISBN (Print)	9780662458043
DOIs	https://doi.org/10.1109/ICIF.2007.4407977
Publication status	Published - Jul 2007
Event	10th International Conference on Information Fusion - Quebec City, Canada Duration: 1 Jul 2007 → …

Conference

Conference	10th International Conference on Information Fusion
Country/Territory	Canada
City	Quebec City
Period	1/07/07 → …

Bibliographical note

Rose publication type: Conference contribution

Sponsorship: The authors are grateful to the financial support by the UK MOD Data and Information Fusion Defence Technology Centre, for project 'Applied Multi-dimensional Fusion'.

Terms of use: Copyright © 2007 IEEE. Reprinted from 10th International Conference on Information Fusion, 2007.

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

image fusion
statistical modelling
multimodal
denoising

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10.1109/ICIF.2007.4407977

Loza informationfusion 2007Accepted author manuscript, 1.45 MB

http://hdl.handle.net/1983/1493

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title = "Statistical model-based fusion of noisy multi-band images in the wavelet domain",

abstract = "A new method for multimodal image fusion, based on statistical modelling of wavelet coefficients, is proposed in this paper. The algorithm draws from the weighted average scheme, but incorporates Laplacian bivariate parent-child statistical dependencies. The interscale dependency is brought in the form of shrinkage functions. The proposed method has been shown to perform very well with noisy datasets, outperforming other conventional methods in terms of fusion quality and noise reduction in the fused output",

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note = "Rose publication type: Conference contribution Sponsorship: The authors are grateful to the financial support by the UK MOD Data and Information Fusion Defence Technology Centre, for project 'Applied Multi-dimensional Fusion'. Terms of use: Copyright {\textcopyright} 2007 IEEE. Reprinted from 10th International Conference on Information Fusion, 2007. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 10th International Conference on Information Fusion ; Conference date: 01-07-2007",

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Loza, AT, Achim, AM , Bull, DR & Canagarajah, CN 2007, Statistical model-based fusion of noisy multi-band images in the wavelet domain. in 10th Conference of the International Society of Information Fusion, Quebec, Canada. Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 6, 10th International Conference on Information Fusion, Quebec City, Canada, 1/07/07. https://doi.org/10.1109/ICIF.2007.4407977

Statistical model-based fusion of noisy multi-band images in the wavelet domain. / Loza, AT; Achim, AM ; Bull, DR et al.

10th Conference of the International Society of Information Fusion, Quebec, Canada. Institute of Electrical and Electronics Engineers (IEEE), 2007. p. 1 - 6.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Statistical model-based fusion of noisy multi-band images in the wavelet domain

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