Infrared and Laser Engineering, Volume. 49, Issue 5, 20200015(2020)
Multi-input fusion adversarial network for underwater image enhancement
Fig. 5. Skip connection experiment. (a) Original drawing; (b) No residual connection; (c) Residual connection; (d) Residual connection and one layer of convolution
Fig. 6. Experimental of color restoration. (a) Origianl;(b) Standard color card;(c) LAB;(d) DUIENet;(e) DCP;(f) DehazeNet and HWD;(g) MFGAN
Fig. 7. Experimental result . (a) Original;(b) DCP;(c) LAB;(d) CLAHE;(e) DehazeNet and HWD;(f) DUIENet;(g) UGAN;(h) MFGAN
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Lin Sen, Liu Shiben, Tang Yandong. Multi-input fusion adversarial network for underwater image enhancement[J]. Infrared and Laser Engineering, 2020, 49(5): 20200015
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Received: Feb. 14, 2020
Accepted: Mar. 5, 2020
Published Online: Sep. 22, 2020
The Author Email: Sen Lin (lin_sen6@126.com)