A terahertz image denoising algorithm based on adaptive manifolds and high-dimensional filtering
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    Abstract:

    To improve the poor resolution and low signal-noise ratio of terahertz image, by using the adaptive manifolds and high-dimensional filtering, a terahertz image denoising algorithm is proposed. The median filter is firstly used to remove the serious noise in the terahertz image. Then the filtered image is processed by the adaptive manifolds for high-dimensional filtering where the most of remained noise is removed in this step. Finally the Laplace of Gaussian based edge enhancement method is performed to enhance the output image. The experimental results show that the proposed method performs well in removing the noise with edge and details preserving.

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朱书进,李跃华.基于自适应流形高维滤波的太赫兹图像滤波算法[J]. Journal of Terahertz Science and Electronic Information Technology ,2016,14(4):497~501

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History
  • Received:June 03,2015
  • Revised:July 21,2015
  • Adopted:
  • Online: September 13,2016
  • Published: