Plug-and-Play Unplugged: Optimization Free Reconstruction using Consensus Equilibrium

no code implementations • 24 May 2017 • Gregery T. Buzzard, Stanley H. Chan, Suhas Sreehari, Charles A. Bouman

We give examples to illustrate consensus equilibrium and the convergence properties of these algorithms and demonstrate this method on some toy problems and on a denoising example in which we use an array of convolutional neural network denoisers, none of which is tuned to match the noise level in a noisy image but which in consensus can achieve a better result than any of them individually.

Denoising Image Reconstruction

Multi-resolution Data Fusion for Super-Resolution Electron Microscopy

no code implementations • 28 Nov 2016 • Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman

Consequently, there is an enormous demand in the materials and biological sciences to image at greater speed and lower dosage, while maintaining resolution.

Super-Resolution

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation

no code implementations • 23 Dec 2015 • Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman

The power of the P&P approach is that it allows a wide array of modern denoising algorithms to be used as a "prior model" for tomography and image interpolation.

Denoising Electron Tomography