47 citations · 49 across the 3 of their papers we have counts for
4 papers
Phase-error estimation and image reconstruction from digital-holography data using a Bayesian framework
Casey J. Pellizzari, Mark F. Spencer, Charles A. Bouman
The estimation of phase errors from digital-holography data is critical for applications such as imaging or wave-front sensing. Conventional techniques require multiple i.i.d. data…
Reduced Electron Exposure for Energy-Dispersive Spectroscopy using Dynamic Sampling
Yan Zhang, G. M. Dilshan Godaliyadda, Nicola Ferrier +3
Analytical electron microscopy and spectroscopy of biological specimens, polymers, and other beam sensitive materials has been a challenging area due to irradiation damage. There i…
A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)
G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic +3
Sparse sampling schemes have the potential to dramatically reduce image acquisition time while simultaneously reducing radiation damage to samples. However, for a sparse sampling s…
A Gaussian Mixture MRF for Model-Based Iterative Reconstruction with Applications to Low-Dose X-ray CT
Ruoqiao Zhang, Dong Hye Ye, Debashish Pal +3
Markov random fields (MRFs) have been widely used as prior models in various inverse problems such as tomographic reconstruction. While MRFs provide a simple and often effective wa…