Yiming Guo, Xiaoqing Wu, Changdong Su, Shitai Zhang, Cuicui Bi, Zhiwei Tao. Rapid Restoration of Turbulent Degraded Images Based on Bidirectional Multi-Scale Feature Fusion[J]. Laser & Optoelectronics Progress, 2022, 59(22): 2201001
- Laser & Optoelectronics Progress
- Vol. 59, Issue 22, 2201001 (2022)
Fig. 1. Downloaded target celestial images from Hubble official website
Fig. 2. Degraded images of simulated target celestial bodies subjected to atmospheric turbulence with different intensities. (a) Degraded images when k=0.001; (b) degraded images when k=0.0025; (c) degraded images when k=0.005
Fig. 3. Generative adversarial network
Fig. 4. Multi-scale feature fusion
Fig. 5. Topology diagram of generated network architecture
Fig. 6. Topology structure diagram of BmffGAN overall network[19]
Fig. 7. Process of BmffGAN training. (a) Curve of loss function changing with epoch; (b) curve of PSNR changing with epoch
Fig. 8. Comparison of restoration effects of different algorithms on simulated atmospheric turbulence images under k=0.005. (a) Degraded images when the additive noise mean is 0, and the variance is 0.001; (b) SGL algorithm; (c) CLEAR algorithm; (d) IBD algorithm; (e) DNCNN algorithm; (f) BmffGAN
Fig. 9. Comparison of restoration effects of different algorithms on simulated atmospheric turbulence images under k=0.0025. (a) Degraded images when the additive noise mean is 0, and the variance is 0.001; (b) SGL algorithm; (c) CLEAR algorithm; (d) IBD algorithm; (e) DNCNN algorithm; (f) BmffGAN
Fig. 10. Comparison of restoration effects of different algorithms on simulated atmospheric turbulence images under k=0.001. (a) Degraded images when the additive noise mean is 0, and the variance is 0.001; (b) SGL algorithm; (c) CLEAR algorithm; (d) IBD algorithm; (e) DNCNN algorithm; (f) BmffGAN
Fig. 11. Evaluation indexes of different algorithms for restoration of simulated atmospheric turbulence images with different intensities (average value). (a) PSNR; (b) SSIM; (c) GMSD; (d) recovery time
Fig. 12. Munin ground-based telescope and star chart software
Fig. 13. Comparison experiment for restoring the ISS images affected by real turbulence. (a) ISS images affected by real turbulence; (b) SGL algorithm; (c) CLEAR algorithm; (d) IBD algorithm; (e) DNCNN algorithm; (f) BmffGAN
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Table 1. Objective evaluation of different networks(average value)
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