Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1610014(2021)
Blind Restoration for Underwater Image Based on Sparse Prior of Red Channel
Figures & Tables(9)
Fig. 1. Comparison of red channel of underwater images. (a1)(a2) Clear images; (b1)(b2) blurred images
Fig. 3. Subjective comparison of different underwater image restored algorithms. (a) Original images; (b) UDCP algorithm; (c) MSCW algorithm; (d) WCID algorithm; (e) IBLA algorithm; (f) fusion algorithm; (g) UIDE algorithm; (h) proposed algorithm
Fig. 4. Detailed comparison of different underwater image restored algorithms. (a1)(a2) Original images; (b1)(b2) UDCP algorithm; (c1)(c2) MSCW algorithm; (d1)(d2) WCID algorithm; (e1)(e2) IBLA algorithm; (f1)(f2) fusion algorithm; (g1)(g2) UIDE algorithm; (h1)(h2) proposed algorithm
Table 1. Quantitative comparison of UCIQE under different underwater image restored algorithms
View tableTable 1. Quantitative comparison of UCIQE under different underwater image restored algorithms
Image Original UDCP MSCW WCID IBLA Fusion UIDE Proposed ① 0.32 0.32 0.40 0.45 0.48 0.59 0.58 0.61 ② 0.41 0.50 0.54 0.49 0.48 0.54 0.59 0.64 ③ 0.46 0.51 0.55 0.53 0.54 0.57 0.61 0.62 ④ 0.50 0.49 0.59 0.56 0.56 0.58 0.54 0.61 ⑤ 0.46 0.58 0.56 0.51 0.52 0.63 0.62 0.68 ⑥ 0.55 0.58 0.60 0.64 0.48 0.58 0.63 0.64 ⑦ 0.54 0.56 0.59 0.61 0.59 0.58 0.59 0.63 Dataset average 0.48 0.56 0.57 0.55 0.57 0.59 0.60 0.63
Table 2. Quantitative comparison of BIQI under different underwater image restored algorithms
View tableTable 2. Quantitative comparison of BIQI under different underwater image restored algorithms
Image Original UDCP MSCW WCID IBLA Fusion UIDE Proposed ① 0.39 0.41 0.46 0.31 0.38 0.39 0.45 0.73 ② 0.48 0.57 0.59 0.50 0.57 0.58 0.59 0.59 ③ 0.47 0.48 0.54 0.57 0.39 0.54 0.54 0.66 ④ 0.50 0.62 0.65 0.64 0.56 0.55 0.48 0.58 ⑤ 0.38 0.61 0.52 0.50 0.40 0.53 0.45 0.62 ⑥ 0.62 0.69 0.58 0.60 0.54 0.59 0.56 0.63 ⑦ 0.62 0.63 0.61 0.61 0.56 0.61 0.55 0.67 Dataset average 0.55 0.60 0.58 0.59 0.55 0.58 0.55 0.63
Table 3. Quantitative comparison of JNB under different underwater image restored algorithms
View tableTable 3. Quantitative comparison of JNB under different underwater image restored algorithms
Image Original UDCP MSCW WCID IBLA Fusion UIDE Proposed ① 7.73 7.07 5.45 6.45 5.57 5.02 4.37 12.57 ② 5.33 4.60 4.56 6.14 4.66 4.52 4.43 13.17 ③ 2.13 2.07 1.99 2.00 2.08 2.17 1.97 2.44 ④ 3.84 4.10 3.36 3.56 3.35 3.29 3.55 9.00 ⑤ 4.83 4.36 4.06 4.57 4.33 3.98 3.76 5.42 ⑥ 2.90 2.88 2.62 2.99 2.83 2.87 2.89 3.77 ⑦ 4.94 5.25 4.61 5.59 4.75 4.67 4.44 7.05 Dataset average 4.65 4.38 4.00 4.49 4.07 4.12 3.63 4.82
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Jun Xie, Guojia Hou, Guodong Wang, Zhenkuan Pan. Blind Restoration for Underwater Image Based on Sparse Prior of Red Channel[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610014
Paper Information
Category: Image Processing
Received: Dec. 1, 2020
Accepted: Dec. 22, 2020
Published Online: Aug. 19, 2021
The Author Email: Guojia Hou (hgjouc@126.com)
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