In this paper, we present a novel region-based multimodal image fusion algorithm in the ICA domain. It uses segmentation to determine the most important regions in the input images and consequently fuses the ICA coefficients from the given regions. The proposed method exhibits considerably higher performance than the basic ICA algorithm and shows improvement over other state-of-the-art algorithms.
|Translated title of the contribution||Region-based multimodal image fusion using ICA bases|
|Title of host publication||2006 IEEE International Conference on Image Processing, Atlanta, GA, United States|
|Publisher||Institute of Electrical and Electronics Engineers (IEEE)|
|Pages||1801 - 1804|
|Number of pages||4|
|Publication status||Published - Oct 2006|
|Event||International Conference on Image Processing - Atlanta, United States|
Duration: 1 Oct 2006 → …
|Conference||International Conference on Image Processing|
|Period||1/10/06 → …|
Bibliographical noteRose publication type: Conference contribution
Sponsorship: This work has been funded by the UK Ministry of Defence Data and Information Fusion Defence Technology Centre.
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- image fusion
- joint segmentation
- region-based fusion
- independent component analysis