• Acta Photonica Sinica
  • Vol. 49, Issue 2, 0210002 (2020)
Hui-juan TIAN1,2, Min-peng CAI2,3, Tao GUAN2,3, and Yang HU1,2
Author Affiliations
  • 1School of Electronics and Information Engineering, Tiangong University, Tianjin 300387, China
  • 2Engineering Research Center of Ministry of Education on High Power Solid Lighting Application System, Tianjin 300387, China
  • 3Tianjin Key Laboratory of Advanced Electrical Engineering and Energy Technology, School of Electrical Engineering and Automation, Tiangong University, Tianjin 300387, China
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    DOI: 10.3788/gzxb20204902.0210002 Cite this Article
    Hui-juan TIAN, Min-peng CAI, Tao GUAN, Yang HU. Low-light Image Enhancement Method Using Retinex Method Based on YCbCr Color Space[J]. Acta Photonica Sinica, 2020, 49(2): 0210002 Copy Citation Text show less
    Retinex模型示意图Schematic diagram of Retinex model
    Fig. 1. Retinex模型示意图Schematic diagram of Retinex model
    不同光照估计方法对比Comparison of different illumination estimation techniques
    Fig. 2. 不同光照估计方法对比Comparison of different illumination estimation techniques
    不同的γ计算的光照图像与增强图像Illumination map and enhanced images calculated with different γ values
    Fig. 3. 不同的γ计算的光照图像与增强图像Illumination map and enhanced images calculated with different γ values
    多尺度细节增强的对比Contrast of multi-scale detail boosting
    Fig. 4. 多尺度细节增强的对比Contrast of multi-scale detail boosting
    The framework of Algorithms
    Fig. 5. The framework of Algorithms
    不同算法在低照度图像上的主观视觉对比Subjective visual comparison of different methods for low-light images
    Fig. 6. 不同算法在低照度图像上的主观视觉对比Subjective visual comparison of different methods for low-light images
    可视化的LOE对比Comparison of LOE visualization
    Fig. 7. 可视化的LOE对比Comparison of LOE visualization
    不同算法在不同图像大小下的运行时间比较Time comparison among different methods with varying image sizes
    Fig. 8. 不同算法在不同图像大小下的运行时间比较Time comparison among different methods with varying image sizes
    MethodLIME-dataMEF-dataNPE-dataVV-dataNPE-part1NPE-part2NPE-part3Ave. LOE
    LIME1 1419131 0351 0131 2541 0881 2401 098
    ATLM5654981 250527398859623674
    DONG1 2441 0651 0649001 4551 1531 5131 199
    MF6305265325238836001 240705
    MSRCR1 8361 6861 7972 7131 8801 9591 8221 956
    NPE1 4711 1587139048828611 2131 029
    Ours4734341 065452574877721656
    Table 1. Measurement results of LOE
    MethodLIME-dataMEF-dataNPE-dataVV-dataNPE-part1NPE-part2NPE-part3Ave. VIF
    LIME0.225 080.253 490.343 100.399 600.309 420.325 040.414 880.324 37
    ATLM0.327 270.396 990.573 990.781 200.483 660.569 750.686 390.545 61
    DONG0.325 140.353 250.423 910.504 360.390 150.418 090.504 260.417 02
    MF0.447 520.512 920.601 090.720 930.588 480.620 700.720 810.601 78
    MSRCR0.240 420.279 940.422 240.420 890.307 180.387 920.659 950.388 36
    NPE0.508 720.523 640.688 900.687 850.598 030.678 150.745 810.633 01
    Ours0.465 940.553 680.640 470.829 040.723 420.651 950.745 810.658 62
    Table 2. Measurement results of VIF
    Hui-juan TIAN, Min-peng CAI, Tao GUAN, Yang HU. Low-light Image Enhancement Method Using Retinex Method Based on YCbCr Color Space[J]. Acta Photonica Sinica, 2020, 49(2): 0210002
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