• Laser & Optoelectronics Progress
  • Vol. 58, Issue 4, 0410017 (2021)
Hongyan Cao1, Changming Liu1、*, Xiaolin Shen1, Dawei Li1, and Yan Chen2
Author Affiliations
  • 1School of Electrical and Control Engineering, North University of China, Taiyuan, Shanxi 0 30051, China
  • 2Military Representative Office of Military Equipment Department in Beijing, Taiyuan, Shanxi 0 30051, China
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    DOI: 10.3788/LOP202158.0410017 Cite this Article Set citation alerts
    Hongyan Cao, Changming Liu, Xiaolin Shen, Dawei Li, Yan Chen. Low Illumination Image Processing Based on Adaptive Threshold and Local Tone Mapping[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410017 Copy Citation Text show less
    NSST decomposition process of k=3
    Fig. 1. NSST decomposition process of k=3
    Model of Retinex theory
    Fig. 2. Model of Retinex theory
    Processing flow of proposed algorithm
    Fig. 3. Processing flow of proposed algorithm
    Results after processing by different algorithms. (a) Original images; (b) MSR algorithm; (c) GLOW algorithm; (d) Ref. [11]; (e) proposed algorithm
    Fig. 4. Results after processing by different algorithms. (a) Original images; (b) MSR algorithm; (c) GLOW algorithm; (d) Ref. [11]; (e) proposed algorithm
    Local enlarged images after processing by different algorithms. (a) Original images; (b) MSR algorithm; (c) GLOW algorithm; (d) Ref. [11]; (e) proposed algorithm
    Fig. 5. Local enlarged images after processing by different algorithms. (a) Original images; (b) MSR algorithm; (c) GLOW algorithm; (d) Ref. [11]; (e) proposed algorithm
    Evaluation statistical curves of different indexes. (a) PSNR; (b) FSIM; (c) Lave; (d) H
    Fig. 6. Evaluation statistical curves of different indexes. (a) PSNR; (b) FSIM; (c) Lave; (d) H
    ImageIndexMSRGLOWRef. [11]Proposed algorithm
    1PSNR /dB21.496221.845422.398127.5023
    FSIM0.86750.72360.71030.8861
    Lave /(cd·m-2)175.4940109.9548105.4461112.6073
    H /bit7.76137.85467.95428.0365
    2PSNR /dB27.269728.026428.714830.0109
    FSIM0.77200.75380.75050.8974
    Lave /(cd·m-2)160.3239105.9814103.5840103.9541
    H /bit7.08447.10227.15497.6950
    3PSNR /dB25.299225.641829.779133.8536
    FSIM0.83660.80190.82270.9152
    Lave /(cd·m-2)166.5690120.4608115.3352110.5210
    H /bit6.96327.25697.43517.8852
    Table 1. Objective evaluation results of different algorithms for different images
    Hongyan Cao, Changming Liu, Xiaolin Shen, Dawei Li, Yan Chen. Low Illumination Image Processing Based on Adaptive Threshold and Local Tone Mapping[J]. Laser & Optoelectronics Progress, 2021, 58(4): 0410017
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