• Laser & Optoelectronics Progress
  • Vol. 57, Issue 24, 241013 (2020)
Xiaoguo Chen1 and Jinquan Hu2、*
Author Affiliations
  • 1Department of Automotive Technology, Xinxiang Vocational and Technical College, Xinxiang, Henan 453006, China
  • 2School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, Guangxi 541004, China
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    DOI: 10.3788/LOP57.241013 Cite this Article Set citation alerts
    Xiaoguo Chen, Jinquan Hu. Underwater Image Enhancement Based on Color Correction and Detail Preservation[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241013 Copy Citation Text show less
    Flowchart of the proposed method
    Fig. 1. Flowchart of the proposed method
    Color correction results. (a) Raw images; (b) color correction method based on mean and variance; (c) proposed color correction method
    Fig. 2. Color correction results. (a) Raw images; (b) color correction method based on mean and variance; (c) proposed color correction method
    Process of separating and integrating low-enhanced and upper-enhanced regions
    Fig. 3. Process of separating and integrating low-enhanced and upper-enhanced regions
    Detail sharpen results. (a) Original image; (b) contrast enhanced image; (c) detail sharpened image
    Fig. 4. Detail sharpen results. (a) Original image; (b) contrast enhanced image; (c) detail sharpened image
    Evaluation of color correction。(a) Original image; (b) method in Ref.[1]; (c) method in Ref.[5]; (d) method in Ref.[9]; (e) method in Ref.[15]; (f) method in Ref.[16]; (g) method in Ref.[18]; (h) proposed method
    Fig. 5. Evaluation of color correction。(a) Original image; (b) method in Ref.[1]; (c) method in Ref.[5]; (d) method in Ref.[9]; (e) method in Ref.[15]; (f) method in Ref.[16]; (g) method in Ref.[18]; (h) proposed method
    Evaluation on bluish underwater images.(a) Original image; (b) method in Ref.[1]; (c) method in Ref.[5]; (d) method in Ref.[9]; (e) method in Ref.[15]; (f) method in Ref.[16]; (g) method in Ref.[18]; (h) proposed method
    Fig. 6. Evaluation on bluish underwater images.(a) Original image; (b) method in Ref.[1]; (c) method in Ref.[5]; (d) method in Ref.[9]; (e) method in Ref.[15]; (f) method in Ref.[16]; (g) method in Ref.[18]; (h) proposed method
    Evaluation on greenish underwater images. (a) Original image; (b) method in Ref.[1]; (c) method in Ref.[5]; (d) method in Ref.[9]; (e) method in Ref.[15]; (f) method in Ref.[16]; (g) method in Ref.[18]; (h) proposed method
    Fig. 7. Evaluation on greenish underwater images. (a) Original image; (b) method in Ref.[1]; (c) method in Ref.[5]; (d) method in Ref.[9]; (e) method in Ref.[15]; (f) method in Ref.[16]; (g) method in Ref.[18]; (h) proposed method
    Evaluation on yellowish underwater images. (a) Original image; (b) method in Ref.[1]; (c) method in Ref.[5]; (d) method in Ref.[9]; (e) method in Ref.[15]; (f) method in Ref.[16]; (g) method in Ref.[18]; (h) proposed method
    Fig. 8. Evaluation on yellowish underwater images. (a) Original image; (b) method in Ref.[1]; (c) method in Ref.[5]; (d) method in Ref.[9]; (e) method in Ref.[15]; (f) method in Ref.[16]; (g) method in Ref.[18]; (h) proposed method
    Evaluation on low light images
    Fig. 9. Evaluation on low light images
    FigureMethod in Ref.[1]Method in Ref.[5]Method in Ref.[9]Method in Ref.[15]Method in Ref.[16]Method in Ref.[18]Proposedmethod
    AGUCIQEAGUCIQEAGUCIQEAGUCIQEAGUCIQEAGUCIQEAGUCIQE
    Fig.64.9970.5104.0150.5927.0030.6356.8440.6045.7980.5103.5230.5727.0190.651
    4.1460.5494.3160.5807.0410.6246.7560.5715.4470.5494.3600.5837.0460.612
    8.3950.445.3630.5387.0630.4667.7240.51810.1640.4406.1230.59012.7250.663
    6.1390.6475.6100.6249.3280.7157.7430.6846.8090.6475.0070.6169.0450.692
    Fig.79.2280.3415.7460.4974.9320.3616.3040.46812.9330.3413.7950.45013.9850.630
    5.7740.4023.4150.4575.940.4945.4950.5436.8690.4023.6600.4909.1870.633
    7.2230.3223.4110.5023.6890.3693.2450.428.6650.3225.2340.59110.5880.655
    9.1680.5137.7250.58612.9040.53512.5050.60711.6820.5137.4570.57514.6140.637
    Fig.89.6910.4698.3530.54711.9090.54310.6990.54912.2370.4697.9220.54715.1920.614
    10.1580.5338.7530.54913.5610.5612.6010.57711.5390.5338.1090.56915.8720.637
    5.5180.5835.1880.6107.1110.5887.8600.6276.2910.5834.8260.6157.9950.667
    6.2770.4194.5780.5187.9660.6025.7560.5296.7910.4195.1940.5247.3410.562
    Average7.2260.4775.5390.5508.2030.5417.7940.5588.7680.4775.4340.56010.8840.638
    Table 1. AG and UCIQE under different methods
    Xiaoguo Chen, Jinquan Hu. Underwater Image Enhancement Based on Color Correction and Detail Preservation[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241013
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