Yushuang Zhang, Wenbo Han, Danfei Huang, Liying Zhao, Aiqi Zhong. Research on Multi-Frame Sea Surface Image Super Resolution Algorithm Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610005
- Laser & Optoelectronics Progress
- Vol. 58, Issue 16, 1610005 (2021)
Fig. 1. Structural diagram of proposed network
Fig. 2. Schematic of light flow estimation
Fig. 3. Map of convolutional neural networks in pyramid hierarchy
Fig. 4. Optical flow estimation of multi-frame images. (a)(d)(g) First image; (b)(e)(h) second image; (c)(f)(i) optical flow estimation map
Fig. 5. Spatial transformation module
Fig. 6. Structural diagram of residual network
Fig. 7. High-resolution image sequence and its target frame image
Fig. 8. Simulated low-resolution image sequence and its target frame image
Fig. 9. Comparison of experimental results of ship images. (a) Original image; (b) Bicubic algorithm; (c) SRCNN algorithm; (d) VDSR algorithm; (e) VDR-DUF algorithm; (f) proposed algorithm
Fig. 10. Comparison of experimental results of beach images. (a) Original image; (b) Bicubic algorithm; (c) SRCNN algorithm; (d) VDSR algorithm; (e) VDR-DUF algorithm; (f) proposed algorithm
Fig. 11. Comparison of experimental results of cliff coast images. (a) Original image; (b) Bicubic algorithm; (c) SRCNN algorithm; (d) VDSR algorithm; (e) VDR-DUF algorithm; (f) proposed algorithm
Fig. 12. Comparison of experimental results of sea surfing images. (a) Original image; (b) Bicubic algorithm; (c) SRCNN algorithm; (d) VDSR algorithm; (e) VDR-DUF algorithm; (f) proposed algorithm
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Table 1. Objective evaluation indexes of each algorithm
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