Improving Imaging Quality of Real-time Fourier Single-pixel Imaging via Deep Learning

Fourier single pixel imaging (FSPI) is well known for reconstructing high quality images but only at the cost of long imaging time. For real-time applications, FSPI relies on under-sampled reconstructions, failing to provide high quality images. In order to improve imaging quality of real-time FSPI,...

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Bibliographic Details

Published in:	Sensors (Basel, Switzerland) Vol. 19; no. 19; p. 4190
Main Authors:	Rizvi, Saad, Cao, Jie, Zhang, Kaiyu, Hao, Qun
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 27.09.2019 MDPI
Subjects:	computational imaging Deep learning fourier single-pixel imaging Fourier transforms Sensors Signal to noise ratio
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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