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《Journal of Beijing University of Aeronautics and Astronautics》 2007-02
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Image fusion algorithm based on multiscale edges

Li Xiaojuan Zhao Wei(School of Electronics and Information Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083,China)  
An image fusion algorithm just using multiscale edges of original images was proposed.There are three steps in this algorithm.Firstly,multiscale edges of the original images were detected.Secondly,these multiscale edges were fused to get the fusion image′s multiscale edges according to the fusion rule,maximizing edge correlation between the fusion image and original images.At last,the fusion image was reconstructed from its multiscale edges.The algorithm using only multiscale edges reduced the computation complexity in the fusion process.The fusion rule enabled the fusion image to hold as much as edge information of original images.Furthermore,the algorithm could compress data even without using any compression coding method,which reduced memory cost and decreased data transfer bandwidth.The experimental results demonstrate that fusion images generated by this algorithm contain the information of original images effectively.
【Fund】: 国家自然科学基金资助项目(60502019)
【CateGory Index】: TP391.41
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