Laser & Optoelectronics Progress, Volume. 57, Issue 16, 161026(2020)
Underwater Image Restoration Based on a Laplace Operator Prior Term
Fig. 1. Degraded underwater images and transmission maps. (a)-(c) Degraded underwater images; (d)-(f) transmission maps for red channel and the value of background light
Fig. 2. Comparison results on stone statue image. (a) Original image; (b) UDCP algorithm; (c) WCID algorithm; (d) ARC algorithm; (e) UIDE algorithm; (f) proposed algorithm
Fig. 3. Comparison results on diver image. (a) Original image; (b) UDCP algorithm; (c) WCID algorithm; (d) ARC algorithm; (e) UIDE algorithm; (f) proposed algorithm
Fig. 4. Comparison results on fish image. (a) Original image; (b) UDCP algorithm; (c) WCID algorithm; (d) ARC algorithm; (e) UIDE algorithm; (f) proposed algorithm
Fig. 5. Comparisons results on pomfret image. (a) Original image; (b) UDCP algorithm; (c) WCID algorithm; (d) ARC algorithm; (e) UIDE algorithm; (f) proposed algorithm
Fig. 6. Underwater images with noise. (a) Image 1; (b) image 2; (c) image 3; (d) image 4; (e) image 5; (f) image 6
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Jingming Li, Guojia Hou, Zhenkuan Pan, Yuhai Liu, Xin Zhao, Guodong Wang. Underwater Image Restoration Based on a Laplace Operator Prior Term[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161026
Category: Image Processing
Received: Dec. 2, 2019
Accepted: Jan. 16, 2020
Published Online: Aug. 5, 2020
The Author Email: Guojia Hou (hgjouc@126.com)