| Optimal wavelet filter bank design for image fusion |
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| 作者姓名： | 刘刚 吕学勤 黄国宏 |
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| 作者单位： | Institute of Electric Power and Automation Control Shanghai University of Electric Power Shanghai 200093，Institute of Electric Power and Automation Control Shanghai University of Electric Power，Shanghai 200093，Department of Information Guangdong University of Technology，Guangzhou 510006 |
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| 基金项目： | This work was supported by the Shanghai Leading Academic Discipline Project (P1301)，the Scientific Research Foundation of Shanghai University of Electric Power (K-2005-22)，the Excellent Young Teacher Foundation of Shanghai (Z-2006-11)，the Scientific Research Foundation of Shanghai Education Committee (KZ-2006-19). |
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| 摘 要： | A novel optimization-based method for designing wavelet filter banks in image fusion is proposed.The filter bank design is formulated as a nonlinear optimization problem.The objective function of the optimization problem consists of both the performance metrics of the image fusion,such as the root mean square error (RMSE),and those of individual filters.The optimization problem is solved using simulating annealing.
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