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Singanallur V. Venkatakrishnan, Charles A. Bouman and Brendt Wohlberg, "Plug-and-Play Priors for Model Based Reconstruction", in Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP), (Austin, TX, USA), doi:10.1109/GlobalSIP.2013.6737048, pp. 945--948, Dec 2013


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.

BibTeX Entry

author = {Singanallur V. Venkatakrishnan and Charles A. Bouman and Brendt Wohlberg},
title = {Plug-and-Play Priors for Model Based Reconstruction},
year = {2013},
month = Dec,
urlpdf = {http://math.lanl.gov/~brendt/Publications/Docs/venkatakrishnan-2013-plugandplay2.pdf},
booktitle = {Proceedings of IEEE Global Conference on Signal and Information Processing (GlobalSIP)},
address = {Austin, TX, USA},
doi = {10.1109/GlobalSIP.2013.6737048},
pages = {945--948}