Multi-focus image fusion using PCNN

  title={Multi-focus image fusion using PCNN},
  author={Zhaobin Wang and Yide Ma and Jason Jianjun Gu},
  journal={Pattern Recognition},
This paper proposes a new method for multi-focus image fusion based on dual-channel pulse coupled neural networks (dual-channel PCNN). Compared with previous methods, our method does not decompose the input source images and need not employ more PCNNs or other algorithms such as DWT. This method employs the dual-channel PCNN to implement multi-focus image fusion. Two parallel source images are directly input into PCNN. Meanwhile focus measure is carried out for source images. According to… CONTINUE READING
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Principle of Pulse Coupled Neural Network and Its Applications

  • Y. D. Ma, L. Li, Y. F. Wang, R. L. Dai
  • Science Press, Beijing
  • 2006
2 Excerpts

A novel adaptive multi-focus image fusion algorithm based on PCNN and sharpness

  • Q. Miao, B. Wang
  • in: Proceedings of SPIE-the International Society…
  • 2005
2 Excerpts

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