GitHub

INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions

This repository contains the PyTorch code for our paper "INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-blind Image Deblurring in Low-Light Conditions" by Zhihong Zhang, Yuxiao ...
IEEE

Compressive Deconvolution in Random Mask Imaging

Abstract: We investigate the problem of reconstructing signals from a subsampled convolution of their modulated versions and a known filter. The problem is studied as applies to a specific imaging ...
IEEE

On conventional beamforming and deconvolution

Abstract: Conventional beamforming is robust but suffers from fat beams and high level sidelobes. This paper applies the Lucy-Richardson algorithm to the conventional beam power (versus the complex ...
C&EN

Deconvolution of Two-Dimensional NMR Spectra by Fast Maximum Likelihood Reconstruction: Application to Quantitative Metabolomics

† ‡ † National Magnetic Resonance Facility at Madison and ‡ Department of Biochemistry, University of Wisconsin-Madison, 433 Babcock Drive, Madison, Wisconsin 53706, United States Article Views are ...