Compressed sensing-based image reconstruction for discrete tomography with sparse view and limited angle geometries.

Compressed sensing-based image reconstruction for discrete tomography with sparse view and limited angle geometries.

This paper addresses the image reconstruction problem in discrete tomography, particularly under challenging imaging conditions such as sparse-view and limited-angle geometries commonly encountered in computed tomography (CT). These conditions often result in low-quality reconstructions due to insuf...

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Bibliographic Details
Main Authors: Haytham A Ali, Essam A Rashed, Hiroyuki Kudo
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0327666
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