Laser & Optoelectronics Progress, Volume. 61, Issue 4, 0411002(2024)
Phase Compensation Algorithm for Off-Axis Digital Holography Based on a Radial Basis Function Neural Network(Invited)
Fig. 4. Simulation results: (a) Digital hologram; (b) Fourier spectrum; (c) FTM initial reconstruction phase; (d) RBF compensation phase and selected training scatters; (e) corrected phase; (f) the simulated object, SCM, PCA and RBF data at the white line section
Fig. 7. Experimental results. (a) Digital hologram; (b) PCA reconstruction phase; (c) SCM reconstruction phase; (d) RBF reconstruction phase; (e) DEM reconstruction phase; (f) the white line section data in Fig. 7 (a)
Fig. 8. Experimental results. (a) Digital hologram; (b) the mask for obtaining training data; (c) SCM reconstruction phase; (d) PCA reconstruction phase; (e) DEM reconstruction phase; (f) RBF reconstruction phase
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Youzhou Shi, Yihui Wu, Wenchao Zhou. Phase Compensation Algorithm for Off-Axis Digital Holography Based on a Radial Basis Function Neural Network(Invited)[J]. Laser & Optoelectronics Progress, 2024, 61(4): 0411002
Category: Imaging Systems
Received: Apr. 18, 2023
Accepted: May. 29, 2023
Published Online: Feb. 22, 2024
The Author Email: Wenchao Zhou (zhouvc@ciomp.ac.cn)
CSTR:32186.14.LOP231110