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Image Enhancement Based on Pulse Coupled Neural Network in the Nonsubsample Shearlet Transform Domain

Author

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  • Zhi Qu
  • Yaqiong Xing
  • Yafei Song

Abstract

In this study, pulse coupled neural network (PCNN) was modified and applied to the enhancement of blur images. In the transform domain of nonsubsample shearlet transform (NSST), PCNN was used to enhance the details of images in the low- and high-frequency subbands, and then the enhanced low- and high-frequency coefficients were used for NSST inverse transformation to obtain the enhanced images. The results showed that the proposed method can produce higher-quality images and suppress noise better than traditional image enhancement strategies.

Suggested Citation

  • Zhi Qu & Yaqiong Xing & Yafei Song, 2019. "Image Enhancement Based on Pulse Coupled Neural Network in the Nonsubsample Shearlet Transform Domain," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-11, February.
    • Handle: RePEc:hin:jnlmpe:2641516
    DOI: 10.1155/2019/2641516
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