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ICASSP
2011
IEEE

Region-based image fusion using a combinatory Chebyshev-ICA method

8 years 11 months ago
Region-based image fusion using a combinatory Chebyshev-ICA method
The aim of this paper is to provide an algorithm for image fusion which combines the techniques of Chebyshev polynomial (CP) approximation and independent component analysis (ICA), based on the regional information of input images. We present a region-based method that combines the merits of both techniques. It utilises segmentation to identify edges, texture and other important features in the input image and subsequently apply the different fusion methods according to regions. The proposed method exhibits better perceptual performance than individual CP and ICA fusion approaches especially in noise corrupted images.
Zaid Omar, Nikolaos Mitianoudis, Tania Stathaki
Added 20 Aug 2011
Updated 20 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Zaid Omar, Nikolaos Mitianoudis, Tania Stathaki
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