CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
Image fusion using weighted multiscale fundamental form
Chen Tao; Guo Ruosan; Peng Silong; Tao Chen
2004
Conference Name2004 International Conference on Image Processing ICIP 2004
Pagespp 3319-3322
Conference Date2004/10/18-2004/10/21
Conference PlaceSingaporeSingapore
AbstractSeveral images to be fused can be taken 3s 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 have a better performance on image fusion.
Keyword
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12896
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding AuthorTao Chen
Recommended Citation
GB/T 7714
Chen Tao,Guo Ruosan,Peng Silong,et al. Image fusion using weighted multiscale fundamental form[C],2004:pp 3319-3322.
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