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Noise reduction for gradient-based multispectral image fusion

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2 Author(s)
Jong Hyun Park ; Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea ; Moon Gi Kang

We propose a new noise reduction algorithm for gradient-based fusion of multispectral images degraded by noise. The gradients resulting mainly from noise are less included in the fusion process than those from salient features according to a minimum mean square error (MMSE) criterion. The selection of an appropriate stationary support region for the criterion is studied. Experimental results show that the proposed method is superior to pre- or post-processing methods of noise reduction based on MMSE criteria. The fused result of multispectral iris images is presented for an application to iris recognition.

Published in:

Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004. Proceedings of 2004 International Symposium on

Date of Conference:

18-19 Nov. 2004