Lowering latency and processing burden in computational imaging through dimensionality reduction of the sensing matrix

Abstract Recent demonstrations have shown that frequency-diverse computational imaging systems can greatly simplify conventional architectures developed for imaging by transferring constraints into the digital layer. Here, in order to limit the latency and processing burden involved in image reconst...

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Autores principales: Thomas Fromentèze, Okan Yurduseven, Philipp del Hougne, David R. Smith
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/297d893aae7d4fb09719b3450f890fa0
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