activity
20162022
most citedFourier Analysis, Computing, and Image Formation for Spotlight Synthetic Aperture Radar

2 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

math.NA2022★ 1 cited

Fixed Point Iterations for SURE-based PSF Estimation for Image Deconvolution

Toby Sanders

Stein's unbiased risk estimator (SURE) has been shown to be an effective metric for determining optimal parameters for many applications. The topic of this article is focused on th…

eess.IV2021★ 2 cited

New Computational Techniques for a Faster Variation of BM3D Image Denoising

Toby Sanders, Sean Larkin

BM3D has been considered the standard for comparison in the image denoising literature for the last decade. Though it has been shown to be surpassed numerous times by alternative a…

math.NA2019★ 2 cited

Fourier Analysis, Computing, and Image Formation for Spotlight Synthetic Aperture Radar

Toby Sanders, Christian Dwyer, Rodrigo B. Platte

This article is written to serve as an introduction and survey of imaging with synthetic aperture radar (SAR). The reader will benefit from having some familiarity with harmonic an…

math.NA2018

Phase Based Alignment and Improved Projection Matching of Parallel Beam Tomography Data

Toby Sanders

Tomography is an imaging technique that works by reconstructing a scene from acquired data in the form of line integrals of the imaging domain. A fundamental underlying assumption…

math.NA2017

Multiscale Higher Order TV Operators for L1 Regularization

Toby Sanders, Rodrigo B. Platte

In the realm of signal and image denoising and reconstruction, regularization techniques have generated a great deal of attention with a multitude of variants. A key compo…

math.NA2016

Recovering Fine Details from Under-Resolved Electron Tomography Data using HOTV Regularization

Toby Sanders, Anne Gelb, Rodrigo Platte +2

Over the last decade or so, reconstruction methods using regularization, often categorized as compressed sensing (CS) algorithms, have significantly improved the capabilit…

math.NA2016

Parameter Selection for HOTV Regularization

Toby Sanders

Popular methods for finding regularized solutions to inverse problems include sparsity promoting regularization techniques, one in particular which is the well known total…