12 citations · 31 across the 9 of their papers we have counts for
4 papers · 1 filter
Solving Image PDEs with a Shallow Network
Pascal Tom Getreuer, Peyman Milanfar, Xiyang Luo
Partial differential equations (PDEs) are typically used as models of physical processes but are also of great interest in PDE-based image processing. However, when it comes to the…
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…
Fast, Trainable, Multiscale Denoising
Sungjoon Choi, John Isidoro, Pascal Getreuer +1
Denoising is a fundamental imaging problem. Versatile but fast filtering has been demanded for mobile camera systems. We present an approach to multiscale filtering which allows re…
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.…