• Laser & Optoelectronics Progress
  • Vol. 58, Issue 14, 1410004 (2021)
Caizhen Zhang, Binlong Kang*, Ying Li, and Yuan Chang
Author Affiliations
  • School of Electronic and Information Engineering, LanZhou JiaoTong Univercity, Lanzhou, Gansu 730070, China
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    DOI: 10.3788/LOP202158.1410004 Cite this Article Set citation alerts
    Caizhen Zhang, Binlong Kang, Ying Li, Yuan Chang. Underwater Image Enhancement Based on Differential Channel Gain and Improved Retinex[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410004 Copy Citation Text show less
    Underwater optical imaging model
    Fig. 1. Underwater optical imaging model
    Graphic comparison of two functions. (a) log function; (b) tanh function
    Fig. 2. Graphic comparison of two functions. (a) log function; (b) tanh function
    Effects of different algorithms before and after processing. (a) Original images; (b) traditional MSR algorithm; (c) improved MSR algorithm
    Fig. 3. Effects of different algorithms before and after processing. (a) Original images; (b) traditional MSR algorithm; (c) improved MSR algorithm
    Processing results of character image. (a) Original images; (b) Ref. [8]; (c) Ref. [9]; (d) Ref. [13]. (e) proposed algorithm
    Fig. 4. Processing results of character image. (a) Original images; (b) Ref. [8]; (c) Ref. [9]; (d) Ref. [13]. (e) proposed algorithm
    Processing results of fish swarm images. (a) Original images; (b) Ref. [8]; (c) Ref. [9]; (d) Ref. [13]. (e) proposed algorithm
    Fig. 5. Processing results of fish swarm images. (a) Original images; (b) Ref. [8]; (c) Ref. [9]; (d) Ref. [13]. (e) proposed algorithm
    Processing results of coral images. (a) Original images; (b) Ref. [8]; (c) Ref. [9]; (d) Ref. [13]. (e) proposed algorithm
    Fig. 6. Processing results of coral images. (a) Original images; (b) Ref. [8]; (c) Ref. [9]; (d) Ref. [13]. (e) proposed algorithm
    ImageOiginalRef. [8]Ref. [9]Ref. [13]Proposed algorithm
    Oiginal image7.58447.60427.49867.72057.9162
    Fig. 4 image 17.35216.78817.12907.45987.8942
    Fig. 4 image 26.67636.68326.22387.66317.8457
    Fig. 5 image 17.71707.73347.60597.86757.8888
    Fig. 5 image 27.30347.37967.18827.86657.8436
    Fig. 6 image 17.42347.51057.54297.92497.9353
    Table 1. Information entropy values of each algorithms
    ImageOriginalRef. [8]Ref. [9]Ref. [13]Proposed algorithm
    Fig. 4 image 16.97297.60507.86888.31208.3455
    Fig. 4 image 25.85277.30177.18248.02038.0565
    Fig. 5 image 15.40777.40117.81737.94978.0185
    Fig. 5 image 27.55247.76087.66688.17438.2145
    Fig. 6 image 16.77717.59268.00927.86677.9521
    Fig. 6 image 17.15347.54858.10608.05328.1202
    Table 2. Standard deviation values of each algorithms
    Caizhen Zhang, Binlong Kang, Ying Li, Yuan Chang. Underwater Image Enhancement Based on Differential Channel Gain and Improved Retinex[J]. Laser & Optoelectronics Progress, 2021, 58(14): 1410004
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