33 citations · 34 across the 5 of their papers we have counts for
3 papers · 1 filter
Local Kernels that Approximate Bayesian Regularization and Proximal Operators
Frank Ong, Peyman Milanfar, Pascal Getreuer
In this work, we broadly connect kernel-based filtering (e.g. approaches such as the bilateral filters and nonlocal means, but also many more) with general variational formulations…
BLADE: Filter Learning for General Purpose Computational Photography
Pascal Getreuer, Ignacio Garcia-Dorado, John Isidoro +3
The Rapid and Accurate Image Super Resolution (RAISR) method of Romano, Isidoro, and Milanfar is a computationally efficient image upscaling method using a trained set of filters.…
General Phase Regularized Reconstruction using Phase Cycling
Frank Ong, Joseph Cheng, Michael Lustig
Purpose: To develop a general phase regularized image reconstruction method, with applications to partial Fourier imaging, water-fat imaging and flow imaging. Theory and Methods: T…