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计算机工程 ›› 2007, Vol. 33 ›› Issue (09): 194-195,.

• 人工智能及识别技术 • 上一篇    下一篇

基于双正交多小波的红外和可见光图像融合

张 彬,黄光华,倪国强   

  1. (北京理工大学光电工程系,北京 100086)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-05-05 发布日期:2007-05-05

Fusion of Infrared and Visible Images Based on
Biorthogonal Multiwavelet

ZHANG Bin, HUANG Guanghua, NI Guoqiang   

  1. (Department of Photoelectricity Engineering, Beijing Institute of Technology, Beijing 100086)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-05-05 Published:2007-05-05

摘要: 利用双正交单小波的对称性和良好的滤波性能,给出了具有GMPs (Good Multifilter Properties)的双正交多小波滤波器,对其经过平衡处理后,结合Burt提出的选择和平均的融合方案,对可见光图像和红外图像进行了融合实验,充分利用红外波段和可见光波段的信息互补性,达到便于观察的目的。仿真结果表明该方法能取得较好的融合效果。

关键词: 双正交多小波, 图像融合, 平衡多小波

Abstract: The biorthogonal multiwavelet filters bank with good multifilter properties is constructed by using scale biorthogonal wavelet possessing symmetry and better filtering property. Combining with Burt’s selection and averaging fusion method, this paper applies it to fusion experiment of infrared and visible image. Simulation test shows the approach can produce preferable result.

Key words: Biorthogonal multiwavelet, Image fusion, Balanced multiwavelet

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