Complex wavelet domain image fusion based on fractional lower order moments

AM Achim; CN Canagarajah; DR Bull

doi:10.1109/ICIF.2005.1591898

Complex wavelet domain image fusion based on fractional lower order moments

AM Achim, CN Canagarajah, DR Bull

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

32 Citations (Scopus)

564 Downloads (Pure)

Abstract

We describe an image fusion algorithm for data exhibiting heavy tails with no convergent second- or higher-order moments. Our developments rely on recent results showing that wavelet decomposition coefficients of images are best modeled by alpha-stable distributions, a family of heavy-tailed densities. Thus, in the multiscale wavelet domain we develop a novel fusion rule based on fractional lower order moments (FLOM's). Simulation results show that our method achieves better performance in comparison with previously proposed pixel-level fusion approaches.

Translated title of the contribution	Complex wavelet domain image fusion based on fractional lower order moments
Original language	English
Title of host publication	IEEE 8th International Conference on Information Fusion, Philadelphia, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	515 - 521
Number of pages	7
Volume	1
ISBN (Print)	0780392868
DOIs	https://doi.org/10.1109/ICIF.2005.1591898
Publication status	Published - Jul 2005
Event	8th International Conference on Information Fusion - Philadelphia, PA, United States Duration: 1 Jul 2005 → …

Conference

Conference	8th International Conference on Information Fusion
Country/Territory	United States
City	Philadelphia, PA
Period	1/07/05 → …

Bibliographical note

Conference Proceedings/Title of Journal: IEEE 8th International Conference on Information Fusion
Rose publication type: Conference contribution

Terms of use: Copyright © 2005 IEEE. Reprinted from 8th International Conference on Information Fusion, 2005.
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 [email protected].

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

Keywords

image fusion
wavelet decomposition
alpha-stable distributions
parameter estimation
fractional lower order moments
symmetric covariation

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10.1109/ICIF.2005.1591898

Achim IEEE infofusion 2005Accepted author manuscript, 3.26 MB

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title = "Complex wavelet domain image fusion based on fractional lower order moments",

abstract = "We describe an image fusion algorithm for data exhibiting heavy tails with no convergent second- or higher-order moments. Our developments rely on recent results showing that wavelet decomposition coefficients of images are best modeled by alpha-stable distributions, a family of heavy-tailed densities. Thus, in the multiscale wavelet domain we develop a novel fusion rule based on fractional lower order moments (FLOM's). Simulation results show that our method achieves better performance in comparison with previously proposed pixel-level fusion approaches.",

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author = "AM Achim and CN Canagarajah and DR Bull",

note = "Conference Proceedings/Title of Journal: IEEE 8th International Conference on Information Fusion Rose publication type: Conference contribution Terms of use: Copyright {\textcopyright} 2005 IEEE. Reprinted from 8th International Conference on Information Fusion, 2005. 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 8th International Conference on Information Fusion ; Conference date: 01-07-2005",

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Achim, AM, Canagarajah, CN & Bull, DR 2005, Complex wavelet domain image fusion based on fractional lower order moments. in IEEE 8th International Conference on Information Fusion, Philadelphia, USA. vol. 1, Institute of Electrical and Electronics Engineers (IEEE), pp. 515 - 521, 8th International Conference on Information Fusion, Philadelphia, PA, United States, 1/07/05. https://doi.org/10.1109/ICIF.2005.1591898

Complex wavelet domain image fusion based on fractional lower order moments. / Achim, AM; Canagarajah, CN; Bull, DR.
IEEE 8th International Conference on Information Fusion, Philadelphia, USA. Vol. 1 Institute of Electrical and Electronics Engineers (IEEE), 2005. p. 515 - 521.

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

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N1 - Conference Proceedings/Title of Journal: IEEE 8th International Conference on Information Fusion Rose publication type: Conference contribution Terms of use: Copyright © 2005 IEEE. Reprinted from 8th International Conference on Information Fusion, 2005. 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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AB - We describe an image fusion algorithm for data exhibiting heavy tails with no convergent second- or higher-order moments. Our developments rely on recent results showing that wavelet decomposition coefficients of images are best modeled by alpha-stable distributions, a family of heavy-tailed densities. Thus, in the multiscale wavelet domain we develop a novel fusion rule based on fractional lower order moments (FLOM's). Simulation results show that our method achieves better performance in comparison with previously proposed pixel-level fusion approaches.

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KW - wavelet decomposition

KW - alpha-stable distributions

KW - parameter estimation

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KW - symmetric covariation

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ER -

Complex wavelet domain image fusion based on fractional lower order moments

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