Wei Zhang, Jichang Guo. Low-Illumination Underwater Image Enhancement Based on White Balance and Relative Total Variation[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121016
- Laser & Optoelectronics Progress
- Vol. 57, Issue 12, 121016 (2020)
Fig. 1. Algorithm flow chart
Fig. 2. Color correction results of low illumination underwater images. (a) Low illumination underwater images; (b) color correction results
Fig. 3. Estimation results of illuminance diagram. (a) Original image; (b) λ=0.01; (c) λ=0.02; (d) λ=0.03; (e) λ=0.04; (f) λ=0.05
Fig. 4. Comparison of enhancement results of each algorithm. (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method
Fig. 5. Comparison of results based on SIFT application (the first group). (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method
Fig. 6. Comparison of results based on SIFT application (the second group). (a) Original image; (b) CLAHE; (c) DCP; (d) Retinex; (e) Dehaze; (f) VCIP; (g) RTV; (h) our method
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Table 1. Objective evaluation results of underwater images
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