• Laser & Optoelectronics Progress
  • Vol. 57, Issue 8, 081007 (2020)
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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    DOI: 10.3788/LOP57.081007 Cite this Article Set citation alerts
    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 Copy Citation Text show less
    Algorithm flow chart
    Fig. 1. Algorithm flow chart
    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
    HDR image acquisition system
    Fig. 3. HDR image acquisition system
    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
    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 1. Objective evaluation experiment comparison between church and desktop 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
    Table 2. Objective evaluation experiment comparison between cycloid and pedestal images
    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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