Yali Hao, Guojia Hou, Yuemei Li, Baoxiang Huang, Zhenkuan Pan. Underwater Image Restoration Based on Total Variation and Color Balance[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1610007
- Laser & Optoelectronics Progress
- Vol. 60, Issue 16, 1610007 (2023)
Fig. 1. General framework of proposed method
Fig. 2. An example of estimating global background light. (a) Original image; (b) result of the quad-tree subdivision; (c) estimated global background light in red rectangle
Fig. 3. Comparison of the estimated transmission maps using different methods. (a) Original image; (b)-(d) the transmission maps obtained by DCP, UDCP, and the proposed method; (e)-(g) the corresponding restored results by DCP, UDCP, and the proposed method
Fig. 4. Restoration results of different algorithms. (a) Original images; (b) RCP algorithm; (c) IBLA algorithm; (d) ULAP algorithm;(e) UNTV algorithm; (f) UWCNN algorithm; (g) Bayes algorithm; (h) proposed algorithm
Fig. 5. Comparison of color correction. (a) Color checker; (b) original image; (c) RCP algorithm;(d) IBLA algorithm;(e) ULAP algorithm; (f) UNTV algorithm; (g) UWCNN algorithm; (h) Bayes algorithm; (i) proposed algorithm
Fig. 6. Ablation experiment. (a) Original images; (b) only defogging and deblurring; (c) only color correction; (d) proposed algorithm
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Table 1. Comparison of UCIQE metrics of restored images with different algorithms
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Table 2. Comparison of UIQM metrics of restored images with different algorithms
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Table 3. Comparison of FDUM metrics of restored images with different algorithms
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Table 4. Comparison of average values of different objective quality evaluation metrics
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