Image fusion using weighted multiscale fundamental form
T Chen, R Guo, S Peng - … on Image Processing, 2004. ICIP'04., 2004 - ieeexplore.ieee.org
T Chen, R Guo, S Peng
2004 International Conference on Image Processing, 2004. ICIP'04., 2004•ieeexplore.ieee.orgSeveral images to be fused can be taken as a multivalued image. From multiscale
fundamental form (MFF), a multivalued image wavelet representation can be obtained. In
order to avoid the enlargement of the wavelet coefficients, the weighted multiscale
fundamental form (WMFF) is exploited in our fusion process. The mutual information and the
conditioned entropy are introduced to evaluate the fused result. Compared with the
multiscale fundamental form, the weighted one has a better performance on image fusion.
fundamental form (MFF), a multivalued image wavelet representation can be obtained. In
order to avoid the enlargement of the wavelet coefficients, the weighted multiscale
fundamental form (WMFF) is exploited in our fusion process. The mutual information and the
conditioned entropy are introduced to evaluate the fused result. Compared with the
multiscale fundamental form, the weighted one has a better performance on image fusion.
Several images to be fused can be taken as a multivalued image. From multiscale fundamental form (MFF), a multivalued image wavelet representation can be obtained. In order to avoid the enlargement of the wavelet coefficients, the weighted multiscale fundamental form (WMFF) is exploited in our fusion process. The mutual information and the conditioned entropy are introduced to evaluate the fused result. Compared with the multiscale fundamental form, the weighted one has a better performance on image fusion.
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