Title :
Image fusion using weighted multiscale fundamental form
Author :
Chen, Tao ; Guo, Ruosan ; Peng, Silong
Author_Institution :
Nat. ASIC Design Eng. Center, Chinese Acad. of Sci., Beijing, China
Abstract :
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.
Keywords :
image representation; sensor fusion; wavelet transforms; fusion process; image fusion; multivalued image wavelet representation; wavelet coefficients; weighted multiscale fundamental form; Application specific integrated circuits; Design automation; Design engineering; Eigenvalues and eigenfunctions; Entropy; Image fusion; Image resolution; Mutual information; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1421824