375 citations · 1.5k across the 83 of their papers we have counts for
4 papers · 2 filters
Deep Learning in Classical X-ray Ghost Imaging for Dose Reduction
Yiyue Huang, Philipp D. Loesel, David M. Paganin +1
Ghost imaging (GI) is an unconventional technique that combines information from two correlated patterned light fields to compute an image of the object of interest. GI can be perf…
Ghost projection via focal-field diffraction catastrophes
James A. Monro, Andrew M. Kingston, David M. Paganin
Ghost projection is the reversed process of computational classical ghost imaging that allows any desired image to be synthesized using a linear combination of illuminating pattern…
High-resolution x-ray scanning with a diffuse, Huffman-patterned probe to minimise radiation damage
Alaleh Aminzadeh, Andrew M. Kingston, Lindon Roberts +3
Scanning objects with a more tightly focused beam (for example of photons or electrons) can provide higher-resolution images. However the stronger localisation of energy deposition…
Separating edges from microstructure in X-ray dark-field imaging: Evolving and devolving perspectives via the X-ray Fokker-Planck equation
Samantha J. Alloo, David M. Paganin, Michelle K. Croughan +3
A key contribution to X-ray dark-field (XDF) is X-ray diffusion by sample structures smaller than the imaging system's spatial resolution. However, some XDF techniques report that…