Phase unwrapping in digital holographic interferometry via physics-informed convolutional-Fourier neural network

Phase unwrapping is essential for many phase-centric optical imaging and metrology techniques, yet remains a challenge under high speckle noise. A deep learning-based speckle phase unwrapping algorithm was developed on the basis of a physics-informed convolutional-Fourier neural network, relying on