Computational estimation of resolution in reconstruction techniques utilizing sparsity, total variation, and nonnegativity-Reference-Cited by-同舟云学术

Computational estimation of resolution in reconstruction techniques utilizing sparsity, total variation, and nonnegativity

Published:2016-09-23 Issue:5 Volume:25 Page:053016
ISSN:1017-9909
Container-title:Journal of Electronic Imaging
language:en
Short-container-title:J. Electron. Imaging

Author:

Dillon Keith¹,Fainman Yeshaiahu²,Wang Yu-Ping¹

Affiliation:

1. Tulane University, Department of Biomedical Engineering, 6823 St. Charles Avenue, New Orleans, Louisiana, United StatesbTulane University, Department of Biostatistics and Bioinformatics, 1440 Canal Street, New Orleans, Louisiana, United States

2. University of California at San Diego, Department of Electrical and Computer Engineering, 9500 Gilman Drive, La Jolla, California, United States

Publisher

SPIE-Intl Soc Optical Eng

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

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