Fusion of infrared and visual images based on contrast pyramid directional filter banks using clonal selection optimizing

@inproceedings{Jin2008FusionOI,
  title={Fusion of infrared and visual images based on contrast pyramid directional filter banks using clonal selection optimizing},
  author={Haiyan Jin and Licheng Jiao and Fang Liu and Yutao Qi},
  year={2008}
}
How to choose effective fusion frames and how to obtain effective fusion coefficients are key problems in image fusion. A novel image fusion scheme is presented based on multiscale decomposition and directional filter banks (DFBs). First, contrast pyramid (CP) decomposition is used for each level of each original image. Then, DFBs are constructed for filter each image. Furthermore, a kind of evolution computation method—the immune clonal selection (ICS) algorithm—is introduced to optimize the… CONTINUE READING

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An Improved Visible and Infrared Image Fusion Based on Contrast with Directional Filter Banks and Optimization

  • 2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
  • 2018
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