Fig. 1. （a） Absolute phase (real data set); （b） Wrapped phase (real data set); （c） Absolute phase (simulated data set 1, 2); （d） Wrapped phase (simulated data set 1); （e） Wrapped phase (simulated data set 2); （f） Wrapped phase (simulated data set 3)

Fig. 2. Comparison of Shannon entropy between real and simulated dataset

Fig. 3. Network model diagram

Fig. 4. Schematic diagram of CBiLSTM module

Fig. 5. Attention gate schematic

Fig. 6. The performance of each network model under different noise conditions

Fig. 7. The performance of each network model in the case of discontinuity

Fig. 8. Performance of individual network models in case of aliasing

Fig. 9. The generalization ability of each network model in the real data set

Fig. 10. Different performance comparison of each network model

Fig. 11. Comparison between the predicted phase and the true absolute phase of the network model proposed in this article in the above three situations

Fig. 12. Experimental test system

Fig. 13. Data acquisition diagram

Fig. 14. Horizontal and vertical phase unwrapping on real data sets

Fig. 15. Picture of the experimental situation with dust and scratches on the lens

Fig. 16. Phase unwrapping on complex real datasets