Laser & Optoelectronics Progress, Volume. 60, Issue 16, 1610003(2023)
Phase Recovery of Electronic Speckle Interferometric Fringe Pattern Using Deep Learning
Fig. 7. Schematic of phase recovery effect of SSIF dataset. (a) Simulated fringe image; (b) network output diagram; (c) true package phase value; (d) unfolding phase of network output diagram; (e) true unwrapping phase value
Fig. 8. Schematic of phase recovery effect of ESIF dataset. (a) Experimental fringe image; (b) network output diagram; (c) wrapped phase value obtained by four-step phase shifting method; (d) unfolding phase of network output diagram; (e) true unwrapping phase value
Fig. 9. Unfolded phase error analysis. (a)-(e) Phase error corresponding to the five experimental fringe patterns in Fig. 8 respectively
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Fang Zhang, Wenheng Li, Wen Wang, Rui Zhao. Phase Recovery of Electronic Speckle Interferometric Fringe Pattern Using Deep Learning[J]. Laser & Optoelectronics Progress, 2023, 60(16): 1610003
Category: Image Processing
Received: Aug. 12, 2022
Accepted: Oct. 9, 2022
Published Online: Aug. 15, 2023
The Author Email: Wen Wang (wangwen@tiangong.edu.cn)