This talk describes three recent proposals in the area of patch-based image denoising. The first one is a simple post-processing technique for Poisson denoisers, based on classical linear minimum mean squared error (MMSE) estimation, which is able to squeeze a few extra tenths of dB of ISNR from several state-of-the-art Poisson denoisers and to ...
Creator:
Figueiredo, Mario (Instituto Superior Tecnico)
Created:
2019-10-17
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
This presentation summarizes the development and implementation of quantitative design criteria motivated by targeted inference objectives for identifying new, potentially expensive computational or physical experiments. The first application is concerned with estimating features of quantities of interest arising from complex computational model...
Creator:
Williams, Brian (Los Alamos National Laboratory)
Created:
2016-02-24
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.
