Simulated Three-Frequency Phase Unwrapping Dataset with Ground-Truth Absolute Phase

Due to the difficulty of obtaining accurate ground-truth absolute phase data in real optical measurement systems, the data in this dataset are generated synthetically to provide reliable and controllable ground truth for both traditional and deep learning–based methods.The absolute phase maps are generated using two synthetic phase generation methods.

One method is based on an improved random matrix enlargement technique, in which small random matrices are first created and then upsampled to a fixed resolution of 256×256 using bilinear interpolation to form smooth phase distributions. In addition, Gaussian function–based generation is also adopted to produce phase maps with specific characteristics, such as local phase variations and discontinuities. These two methods enable the generation of diverse phase patterns with different spatial properties.