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20012023
most citedGeneralized sparse Bayesian learning and application to image reconstruction

18 citations · 75 across the 23 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.SP2019

Thresholded Non-Uniform Fourier Frame-Based Reconstruction for Stripmap SAR

John McKay, Anne Gelb, Suren Jayasuriya +1

Fourier domain methods are fast algorithms for SAR imaging. They typically involve an interpolation in the frequency domain to re-grid non-uniform data so inverse fast Fourier tran…

math.NA2019★ 2 cited

Accelerated Variance Based Joint Sparsity Recovery of Images from Fourier Data

Theresa Scarnati, Anne Gelb

Several problems in imaging acquire multiple measurement vectors (MMVs) of Fourier samples for the same underlying scene. Image recovery techniques from MMVs aim to exploit the joi…

eess.SP2019★ 2 cited

Total Variation Bayesian Learning via Synthesis

Victor Churchill, Anne Gelb

This paper presents a sparse Bayesian learning algorithm for inverse problems in signal and image processing with a total variation (TV) sparsity prior. Because of the prior used,…

math.NA2019★ 11 cited

High Order Edge Sensors with Regularization for Enhanced Discontinuous Galerkin Methods

Jan Glaubitz, Anne Gelb

This paper investigates the use of regularization for solving hyperbolic conservation laws based on high order discontinuous Galerkin (DG) approximations. We first use the…

eess.IV2019★ 1 cited

Image reconstruction enhancement via masked regularization

Victor Churchill, Anne Gelb

Image reconstruction based on an edge-sparsity assumption has become popular in recent years. Many methods of this type are capable of reconstructing nearly perfect edge-sparse ima…

eess.IV2019

Edge-masked CT image reconstruction from limited data

Victor Churchill, Anne Gelb

This paper presents an iterative inversion algorithm for computed tomography image reconstruction that performs well in terms of accuracy and speed using limited data. The computat…