Plug and Play Software

Plug-and-play (P&P) priors is an algorithmic method that allows denoising operators to be used as prior models in regularized Bayesian inversion. More generally, it is a modular method for fusing information from multiple sources in reconstruction problems.
PnP Implementation - A reference Python implementation of PnP. - Directory containing Matlab implementation of Plug and Play to super resolution and sparse inpainting.

SIAM News: Plug-and-Play

SIAG/Imaging Science Best Paper Prize Lecture: Plug-and-Play and MACE Explained

Relevant Papers:
paper Singanallur V. Venkatakrishanan, Charles A. Bouman, and Brendt Wohlberg, ``Plug-and-Play Priors for Model Based Reconstruction,'' IEEE 2013 Global Conference on Signal and Information Processing (GlobalSIP), Austin, Texas, USA, December 3-5, 2013.

paper Suhas Sreehari, S. Venkat Venkatakrishnan, Brendt Wohlberg, Gregery T. Buzzard, Lawrence F. Drummy, Jeffrey P. Simmons, and Charles A. Bouman, ``Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation,'' IEEE Transactions on Computational Imaging, vol. 2, no. 4, Dec. 2016.

paper Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, and Charles A. Bouman ``Muti-Resolution Data Fusion for Super-Resolution Electron Microscopy,'' NTIRE 2017 at CVPR 2017.

final and original paper (might be clearer), and CE tutorial slides;
Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari and Charles A. Bouman, ``Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium,'' {\em SIAM Journal on Imaging Sciences}, vol. 11, no. 3, pp. 2001-2020, Sept. 2018.

pdf, Casey J. Pellizzari, Russell Trahan, Hangying Zhou, Skip Williams, Stacie E. Williams, Bijan Nemati, Michael Shao, and Charles A. Bouman, ``Optically-Coherent Image Formation and Denoising Using Plug and Play Inversion Framework,'' {\em Applied Optics}, vol. 56, no. 16, pp. 4735-4744, June 2017.

pdf Xiao Wang, Venkatesh Sridhar, Zahra Ronaghi, Rollin Thomas, Jack Deslippe, Dilworth Parkinson, Gregery Buzzard, Charles A. Bouman, Samuel P. Midkiff, Simon K. Warfield, ``Consensus Equilibrium Framework for Super-Resolution and Extreme-Scale CT Reconstruction,'' Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2019 (SC19), November 17, 2019.

For more information, contact:
Charles A. Bouman
School of Electrical and Computer Engineering
Purdue University
West Lafayette, IN 47907-1285