Confocal Image Restoration Based on Hessian Matrix Norm Regularization Algorithm
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    Abstract:

    For the problem of deblurred confocal image restoration under Poisson noise, a regularization method based on Hessian matrix norm was proposed to solve the stairs effect existing in traditional methods. Based on the Poisson probability model, the method introduced the Hessian matrix norm as a regular condition, and applied the alternating direction multiplier method and gradient projection method to solve the optimization model. The quality of the reconstructed image obtained in the confocal laser scanning microscopy experiment was better than that of the traditional method. This result proves that the method can effectively restore the deblurred confocal image under Poisson noise.

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陈集懿,何涛,胡洁.基于Hessian矩阵范数正则化方法的共聚焦图像复原.计算机系统应用,2020,29(2):228-232

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History
  • Received:June 11,2019
  • Revised:July 05,2019
  • Online: January 16,2020
  • Published: February 15,2020
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