TY - GEN
T1 - Noise reduction for gradient-based multispectral image fusion
AU - Park, Jong Hyun
AU - Kang, Moon Gi
PY - 2004
Y1 - 2004
N2 - In this paper, we propose a new noise reduction algorithm for the gradient-based fusion of multispectral images degraded by noise. The gradients resulted 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 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.
AB - In this paper, we propose a new noise reduction algorithm for the gradient-based fusion of multispectral images degraded by noise. The gradients resulted 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 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.
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M3 - Conference contribution
AN - SCOPUS:21444458059
SN - 0780386396
T3 - Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
SP - 185
EP - 188
BT - Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
A2 - Ko, S.J.
T2 - Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
Y2 - 18 November 2004 through 19 November 2004
ER -