Image Fusion Using Weighted Multiscale Fundamental Form (WP-P5)

Author(s) : Tao Chen (Institute of Automation, Chinese Academy of Sciences, China) RuoSan Guo (Institute of Automation, Chinese Academy of Sciences, China) Silong Peng (Institute of Automation, Chinese Academy of Sciences, China)

Abstract : Several images to be fused can be taken as a multivalued image. From the multiscale fundamental form, a multivalued image wavelet representation is obtained. In order to avoid the enlargement of the wavelet coefficients, the weighted multiscale fundamental form is exploited in our fusion process. To evaluate the fused image, the mutual information and the conditioned entropy are introduced. Compared with the multiscale fundamental form, the weighted one have a better performance on image fusion.

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