DocumentCode
3394193
Title
Adaptive Region-Based Multimodal Image Fusion Using ICA Bases
Author
Cvejic, Nedeljko ; Lewis, John ; Bull, David ; Canagarajah, Nishan
Author_Institution
Dept. of Electr. & Electron. Eng., Bristol Univ.
fYear
2006
fDate
10-13 July 2006
Firstpage
1
Lastpage
6
Abstract
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
Keywords
image fusion; image segmentation; independent component analysis; ICA bases; Piella fusion metric; adaptive region; image segmentation; independent component analysis; multimodal image fusion; Fuses; Image fusion; Image segmentation; Independent component analysis; Infrared detectors; Infrared image sensors; Infrared imaging; Infrared surveillance; Layout; Smart pixels; Independent Component Analysis; image fusion; image fusion metrics; region-based image fusion; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Fusion, 2006 9th International Conference on
Conference_Location
Florence
Print_ISBN
1-4244-0953-5
Electronic_ISBN
0-9721844-6-5
Type
conf
DOI
10.1109/ICIF.2006.301600
Filename
4085886
Link To Document