Joint amplitude and phase retrieval in single-pixel imaging via an untrained U-net prior
We propose an untrained deep neural network framework for joint amplitude–phase retrieval in single-pixel imaging (SPI). In many advanced optical applications, e.g., quantitative phase microscopy and coherent diffractive imaging, the object of interest is inherently complex-valued. However, conventional SPI approaches...