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Laser & Optoelectronics Progress, Volume. 57, Issue 8, 081007(2020)

Gradient Domain Adaptive Tone Mapping Algorithm Based on Color Correction Model

Wei Feng1,2、*, Hongdi Liu1, Guiming Wu1, and Daxing Zhao1
Author Affiliations
  • 1School of Mechanical Engineering, Hubei University of Technology, Wuhan, Hubei 430068, China
  • 2Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Hubei University of Technology, Wuhan, Hubei 430068, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (6)
    Equations (0)
    References (18)
    Cited By (5)
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    Figures & Tables(6)
    Algorithm flow chart

    Fig. 1. Algorithm flow chart

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    Tone mapping comparison experiment results of church and desktop images. (a) Original images; (b) Larson algorithm; (c) Drago algorithm; (d) Reinhard algorithm; (e) gradient domain algorithm; (f) our algorithm

    Fig. 2. Tone mapping comparison experiment results of church and desktop images. (a) Original images; (b) Larson algorithm; (c) Drago algorithm; (d) Reinhard algorithm; (e) gradient domain algorithm; (f) our algorithm

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    HDR image acquisition system

    Fig. 3. HDR image acquisition system

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    Tone mapping comparison experiment results of cycloid and pedestal images. (a) Original images; (b) Larson algorithm; (c) Drago algorithm; (d) Reinhard algorithm; (e) gradient domain algorithm; (f) our algorithm

    Fig. 4. Tone mapping comparison experiment results of cycloid and pedestal images. (a) Original images; (b) Larson algorithm; (c) Drago algorithm; (d) Reinhard algorithm; (e) gradient domain algorithm; (f) our algorithm

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    • Table 1. Objective evaluation experiment comparison between church and desktop images

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      Table 1. Objective evaluation experiment comparison between church and desktop images

      AlgorithmChurchDesktop
      InformationentropyContrastAveragegradientInformationentropyContrastAveragegradient
      Larson6.413148.5528.5356.84349.9303.839
      Drago6.886113.8085.9427.22750.5683.534
      Reinhard6.01660.7704.1347.30641.9963.358
      Gradient domain7.482127.8427.6667.56942.2744.489
      Our8.652193.7649.8248.51573.4366.306

    • Table 2. Objective evaluation experiment comparison between cycloid and pedestal images

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      Table 2. Objective evaluation experiment comparison between cycloid and pedestal images

      AlgorithmCycloidPedestal
      InformationentropyContrastAveragegradientInformationentropyContrastAveragegradient
      Larson6.818112.0244.6856.83382.2144.015
      Drago7.36239.5323.3576.92679.5743.537
      Reinhard6.96739.5653.0917.07279.5903.637
      Gradient domain7.42545.6543.3697.25495.6374.346
      Our7.614138.9535.7967.461118.3656.275
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    Wei Feng, Hongdi Liu, Guiming Wu, Daxing Zhao. Gradient Domain Adaptive Tone Mapping Algorithm Based on Color Correction Model[J]. Laser & Optoelectronics Progress, 2020, 57(8): 081007

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    Paper Information

    Category: Image Processing

    Received: Jul. 16, 2019

    Accepted: Sep. 6, 2019

    Published Online: Apr. 3, 2020

    The Author Email: Feng Wei (david2018@hbut.edu.cn)

    DOI:10.3788/LOP57.081007

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology