Optimal Contrast Correction for ICA-Based Fusion of Multimodal Images

IEEE Sensors Journal

Volumn 8, Issue 12, 2008, Pages 2016-2026

  Mitianoudis, Nikolaos ^a   Stathaki, Tania ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

Independent component analysis (ICA); multi modal image fusion

Indexed keywords

EID: 85008041946     PISSN: 1530437X     EISSN: 15581748     Source Type: Journal    
DOI: 10.1109/JSEN.2008.2007678     Document Type: Article

References (20)

1. K. Romer and F. Mattern, “The design space of wireless sensor networks,” IEEE Wireless Commun., vol. 11, no. 6, pp. 54–61, 2004.
2. A. Mahmood, P. M. Tudor, W. Oxford, R. Hansford, J. D. B. Nelson, N. G. Kingsbury, A. Katartzis, M. Petrou, N. Mitianoudis, T. Stathaki, A. Achim, D. Bull, N. Canagarajah, S. Nikolov, A. Loza, and N. Cvejic, “Applied multi-dimensional fusion,” Computer J., vol. 50, no. 6, pp. 660–673, 2007.
3. A. Goshtasby, 2-D and 3-D Image Registration: For Medical, Remote Sensing, and Industrial Applications. New York: Wiley, 2005.
4. P. Hill, N. Canagarajah, and D. Bull, “Image fusion using complex wavelets,” in Proc. 13th British Machine Vision Conference, Cardiff, U.K., 2002.
5. N. Kingsbury, “The dual-tree complex wavelet transform: A new technique for shift invariance and directional filters,” in Proc. IEEE Digital Signal Processing Worksbop, Bryce Canyon, UT, 1998.
6. S. G. Nikolov, D. R. Bull, C. N. Canagarajah, M. Halliwell, and P. N. T. Wells, “Image fusion using a 3-D wavelet transform,” in Proc. 7th Int. Conf. Image Process. Appl., 1999, pp. 235–239.
7. G. Piella, “A general framework for multiresolution image fusion: From pixels to regions,” Inf. Fusion, vol. 4, pp. 259–280, 2003.
8. N. Mitianoudis and T. Stathaki, “Pixel-based and region-based image fusion schemes using ICA bases,” Inf. Fusion, vol. 8, no. 2, pp. 131–142, 2007.
9. N. Mitianoudis and T. Stathaki, “Adaptive image fusion using ICA bases,” in Proc. Int. Conf. Acoust., Speech, Signal Process., Toulouse, France, May 2006.
10. N. Cvejic, D. Bull, and N. Canagarajah, “Region-based multimodal image May fusion using ICA bases,” IEEE Sensors J., vol. 7, no. 5, pp. 743–751, 2007.
11. N. Cvejic, J. Lewis, D. Bull, and N. Canagarajah, “Adaptive region-based multimodal image fusion using ica bases,” in Proc. Int. Conf. Inf. Fusion, 2006.
12. N. Cvejic, D. Bull, and N. Canagarajah, “Improving fusion of surveillance images in sensor networks using independent component analysis,” IEEE Trans. Consumer Electron., vol. 53, no. 3, pp. 1029–1035, 2007.
13. G. Piella and H. Heijmans, “A new quality metric for image fusion,” in Proc. Int. Conf. Image Process. (ICIP), Barcelona, Spain, 2003, pp. 173–176.
14. A. Hyvarinen, “Fast and robust fixed-point algorithms for independent component analysis,” IEEE Trans. Neural Networks, vol. 10, no. 3, pp. 626–634, 1999.
15. A. Hyvarinen, P. O. Hoyer, and M. Inki, “Topographic independent component analysis,” Neural Comput., vol. 13, no. 7, pp. 1527–1558, 2001.
16. A. Hyvarinen, P. O. Hoyer, and E. Oja, “Image denoising by sparse code shrinkage,” in Intelligent Signal Processing, S. Haykin and B. Kosko, Eds. Piscataway, NJ: IEEE Press, 2001.
17. A. Hyvarinen, J. Karhunen, and E. Oja, Independent Component Analysis. New York: Wiley, 2001, 481+xxii pages.
18. Z. Wang and A. C. Bovik, “A universal image quality index,” IEEE Signal Process. Lett., vol. 9, no. 3, pp. 81–84, 2002.
19. A. Toet, “Detection of dim point targets in cluttered maritime backgrounds through multisensor image fusion,” in Proc. SPIE Targets and Backgrounds VIII: Characterization and Representation, 2002, vol. 4718, pp. 118–129.
20. The Image Fusion Server. [Online]. Available: http://www.imagefusion.org/