Abstract: The present application relates to an interferogram phase estimation method. The interferogram phase estimation method includes: obtaining an interferogram for estimation of a measured object; and inputting the interferogram for estimation to a neural network model trained based on a method for training a neural network model for interferogram phase estimation, to obtain a phase image corresponding to the interferogram for estimation. In the interferogram phase estimation method of the present application, features of different scales of an interferogram are learned based on a Unet++ neural network model to obtain an accurately estimated phase image corresponding to the interferogram.