Shang Qiufeng, Qin Wenjie, Hu Yuting. Brillouin Scattering Spectral Image Denoising Algorithm Based on Armijo Line Search[J]. Chinese Journal of Lasers, 2019, 46(9): 906002
- Chinese Journal of Lasers
- Vol. 46, Issue 9, 906002 (2019)
Fig. 1. Algorithm flow chart
Fig. 2. Rayleigh-BOTDA sensing system
Fig. 3. Three-dimensional Brillouin scattering spectrum
Fig. 4. Front views of noise reduction image with different λ. (a) λ=0; (b) λ=0.5; (c) λ=1
Fig. 5. BFS under different λ. (a) λ=0; (b) λ=1
Fig. 6. Relationship between BFS and λ in normal and heating temperature regions. (a) Normal temperature; (b) heating temperature
Fig. 7. Temperature differences extracted under different λ
Fig. 8. Variation in noise reduction image with number of iterations. (a) n=0, α0=0.9124; (b) n=1, α1=0.2308; (c) n=2, α2=4.2215×10-21; (d) n=3, α3=4.2215×10-21
Fig. 9. Variation in value of ‖un+1-un‖/‖un‖ with number of iterations
Fig. 10. Variation in MSE with number of iterations
Fig. 11. Comparison of TV noise reduction results of 256-time average 3D Brillouin scattering spectrum. (a) Before noise reduction; (b) after noise reduction
Fig. 12. BFS distribution after eliminating under-fitting data
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