Speaker
Dawit Hailu
(Hereon (Helmholtz-Zentrum Hereon))
Description
The near-field phase retrieval problem is a non-linear, ill-posed inverse problem. It is also an important step in X-ray imaging, a precursor to the tomographic reconstruction stage. We will discuss ForwardNET, a deep learning model for solving this problem, along with other inverse problems that we face at our PETRA III, P05 and P07 experiments. This includes fly-scan tomographic reconstruction, and reconstructing images from Gaussian, motion and rotational blur. We will then continue to discuss how we handle noise and uncertainity.
Primary author
Dawit Hailu
(Hereon (Helmholtz-Zentrum Hereon))
