| Paper: | IMDSP-P14.10 | ||
| Session: | Image Formation | ||
| Time: | Friday, May 19, 10:00 - 12:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Synthetic-Natural Hybrid Image Systems | ||
| Title: | Adaptive Image Fusion using ICA bases | ||
| Authors: | Nikolaos Mitianoudis, Tania Stathaki, Imperial College London, United Kingdom | ||
| Abstract: | Image fusion can be viewed as a process that incorporates essential information from different modality sensors into a composite image. The use of bases trained using Independent Component Analysis (ICA) for image fusion has been highlighted recently. Common fusion rules can be used in the ICA fusion framework with promising results. In this paper, the authors propose an adaptive fusion scheme, based on the ICA fusion framework, that maximises the sparsity of the fusion image in the transform domain. | ||
©2018 Conference Management Services, Inc. -||- email: webmaster@icassp2006.org -||- Last updated Friday, August 17, 2012