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An algorithmic framework to experiment with different image priors via denoising algorithms for inverse problems.

MATLAB 71.10% C 25.44% M 0.06% HTML 2.00% XSLT 0.92% CSS 0.16% C++ 0.31%

plug-and-play-priors's Introduction

plug-and-play-priors

Code to experiment with different priors via de-noising algorithms for 2-D tomography.

For testing, run the example file PlugAndPlayPriorScript.m

Many of the de-noising algorithms have been downloaded from their respective websites.If you use this work please cite the appropriate papers for them.

If you use the P&P code, please cite:

[1] Singanallur V. Venkatakrishnan, Charles A. Bouman, and Brendt Wohlberg "Plug-and-Play Priors for Model Based Reconstruction", IEEE GlobalSIP, December 3-5, 2013

[2] Suhas Sreehari, Singanallur V. Venkatakrishnan, Brendt Wohlberg, Gregery Buzzard, Lawrence F. Drummy, Jeffrey P. Simmons and Charles A. Bouman "Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation" IEEE TCI 2016

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