Name
Abstract | ||
|---|---|---|
Model-based reconstruction is a powerful framework for solving a variety of inverse problems in imaging. In recent years, enormous progress has been made in the problem of denoising, a special case of an inverse problem where the forward model is an identity operator. Similarly, great progress has been made in improving model-based inversion when the forward model corresponds to complex physical measurements in applications such as X-ray CT, electron-microscopy, MRI, and ultrasound, to name just a few. However, combining state-of-the-art denoising algorithms (i.e., prior models) with state-of-the-art inversion methods (i.e., forward models) has been a challenge for many reasons. In this paper, we propose a flexible framework that allows state-of-the-art forward models of imaging systems to be matched with state-of-the-art priors or denoising models. This framework, which we term as Plug-and-Play priors, has the advantage that it dramatically simplifies software integration, and moreover, it allows state-of-the-art denoising methods that have no known formulation as an optimization problem to be used. We demonstrate with some simple examples how Plug-and-Play priors can be used to mix and match a wide variety of existing denoising models with a tomographic forward model, thus greatly expanding the range of possible problem solutions. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/GlobalSIP.2013.6737048 | Global Conference Signal and Information Processing |
Keywords | Field | DocType |
image denoising,image reconstruction,inverse problems,optimisation,denoising models,imaging system forward models,inverse problems,model based reconstruction,optimization problem,plug-and-play priors,software integration,tomographic forward model | Iterative reconstruction,Inversion (meteorology),Algorithm,Artificial intelligence,Inverse problem,Operator (computer programming),Prior probability,Optimization problem,Machine learning,Mathematics,System integration,Special case | Conference |
ISSN | Citations | PageRank |
2376-4066 | 64 | 1.54 |
References | Authors | |
19 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. V. Venkatakrishnan | 1 | 113 | 8.59 |
| Charles A. Bouman | 2 | 2740 | 473.62 |
| Brendt Wohlberg | 3 | 685 | 55.53 |