Chinese Journal of Lasers, Volume. 49, Issue 20, 2007210(2022)

Lung CT Image Enhancement Based on Image Segmentation and Total Variational

Hongfei Wang1,2,3, ShiQing Ma1,2, Lei Min1,2, Shuai Wang1,2, Wei Yang5、***, Chuan Xu4、**, and Ping Yang1,2、*
Author Affiliations
  • 1Key Laboratory of Adaptive Optics, Chinese Academy of Sciences, Chengdu 610209, Sichuan, China
  • 2Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, Sichuan, China
  • 3School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • 4Affiliated Cancer Hospital of University of Electronic Science and Technology of China/Sichuan Cancer Hospital, Chengdu 610209, Sichuan, China
  • 5School of Aeronautics and Astronautics Xihua University, Chengdu 610209, Sichuan, China
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    Figures & Tables(5)
    Twice wavelet transformation of image
    Flowchart of proposed algorithm
    Experimental results for suppressing artifacts by different algorithms. (a) Original image screenshot; (b) WTHE algorithm; (c) GAAHE algorithm; (d) CLAHE algorithm; (e) KH-RHE algorithm; (f) proposed algorithm
    Experimental results of proposed algorithm and comparison algorithms on test data sets
    • Table 1. Average value of objective evaluation indices

      View table

      Table 1. Average value of objective evaluation indices

      AlgorithmContrastGray level resolutionStructural similarityAbsolute mean brightness difference
      Original37.210.95
      WTHE35.220.890.9211.19
      GAAHE36.350.960.9311.02
      CLAHE36.470.970.9212.39
      KH-RHE37.380.980.9610.92
      Proposed38.841.000.9610.81
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    Hongfei Wang, ShiQing Ma, Lei Min, Shuai Wang, Wei Yang, Chuan Xu, Ping Yang. Lung CT Image Enhancement Based on Image Segmentation and Total Variational[J]. Chinese Journal of Lasers, 2022, 49(20): 2007210

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    Paper Information

    Category: Biomedical Optical Imaging

    Received: Aug. 8, 2022

    Accepted: Sep. 1, 2022

    Published Online: Oct. 14, 2022

    The Author Email: Yang Wei (xhuyw@mail.xhu.edu.cn), Xu Chuan (xuchuan100@163.com), Yang Ping (pingyang2516@163.com)

    DOI:10.3788/CJL202249.2007210

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