Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (20): 203-209.DOI: 10.3778/j.issn.1002-8331.2006-0417

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Adaptive Generalized Total Variation Algorithm for Poisson Noise Removal

WANG Jie, JIN Zhengmeng, FENG Can   

  1. 1.School of Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
    2.Northern Information Control Research Institute Group Co., Ltd., Nanjing 211153, China
  • Online:2021-10-15 Published:2021-10-21



  1. 1.南京邮电大学 理学院,南京 210023
    2.北方信息控制研究院集团有限公司,南京 211153


Aiming at the Poisson noise in medical and astronomical images, this paper studies the image Poisson denoising model based on generalized total variation, and proposes an adaptive generalized total variation image denoising algorithm combined with alternating iterative minimization method. The algorithm uses the generalized cross validation technology, so that the regularization parameters in the model can be updated automatically in the iterative process of the algorithm. Finally, the numerical experiment results verify the effectiveness and feasibility of the algorithm.

Key words: image denoising, Poisson noise, generalized cross validation, alternating minimization



关键词: 图像去噪, 泊松噪声, 广义交叉验证, 交替极小化