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Adaptive region-based multimodal image fusion using ICA bases

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication9th International Conference on Information Fusion, FUSION, Florence, Italy
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Pages1 - 6
ISBN (Print)1424409535
StatePublished - Jul 2006


Conference9th International Conference on Information Fusion
Period1/07/06 → …


In this paper, we present a novel multimodal image fusion algorithm in ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from given regions using the Piella fusion metric to maximise the quality of the fused image. The proposed method exhibits significantly higher performance than the basic ICA algorithm and improvement over other state-of-the-art algorithms.

Additional information

Rose publication type: Conference contribution Terms of use: Copyright © 2006 IEEE. Reprinted from 9th International Conference on Information Fusion, 2006 (ICIF 2006). 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 By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Research areas

  • image fusion, region-based image fusion, image fusion metrics, segmentation, Independent component analysis


9th International Conference on Information Fusion

Duration1 Jul 2006 → …

Event: Conference





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