Infrared and Laser Engineering, Volume. 51, Issue 8, 20210709(2022)

Image enhancement algorithm based on trigonometric function transformation and IRDPSO optimization

Fang Zhang and Hui Xiao*
Author Affiliations
  • Information Center, ZhongNan Hospital of Wuhan University, Wuhan 430071, China
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    Figures & Tables(9)
    Flow chart of algorithm
    Experimental results of image A
    Experimental results of image B
    Experimental results of image C
    Experimental results of image D
    • Table 1. Experimental data of image A

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      Table 1. Experimental data of image A

      Image AOriginal imageHESSRMSSCRAGCWD[9]Proposed algorithm
      Information entropy6.95215.954 67.511 97.568 77.382 17.2897
      Standard deviation35.626 574.985 159.727 859.495 463.16454.8634
      Mean value146.758 9127.494 2128.299 6128.676127.428 1145.1314
    • Table 2. Experimental data of image B

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      Table 2. Experimental data of image B

      Image BOriginal imageHESSRMSSCRAGCWD[9]Proposed algorithm
      Information Entropy6.00875.54657.09877.05755.76857.1085
      Standard deviation37.406174.370744.478744.126642.891451.9358
      Mean value26.5739127.6286123.8615123.5788122.561170.8161
    • Table 3. Experimental data of image C

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      Table 3. Experimental data of image C

      Image COriginal imageHESSRMSSCRAGCWD[9]Proposed algorithm
      Information Entropy6.05185.64177.22557.13516.21377.3454
      Standard deviation33.489774.310244.747244.029637.118857.5542
      Mean value25.9043127.6572124.1044123.9515123.310773.5227
    • Table 4. Experimental data of image D

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      Table 4. Experimental data of image D

      Image DOriginal imageHESSRMSSCRAGCWD[9]Proposed algorithm
      Information Entropy6.62555.89167.01167.01627.02157.1776
      Standard deviation35.173874.985753.930354.917762.900960.4586
      Mean value162.1123127.6125128.3536128.6848127.9938178.8673
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    Fang Zhang, Hui Xiao. Image enhancement algorithm based on trigonometric function transformation and IRDPSO optimization[J]. Infrared and Laser Engineering, 2022, 51(8): 20210709

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    Paper Information

    Category: Image processing

    Received: Sep. 26, 2021

    Accepted: --

    Published Online: Jan. 9, 2023

    The Author Email:

    DOI:10.3788/IRLA20210709

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