From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth

From compressive sampling to compressive tasking: retrieving semantics in compressed domain with low bandwidth

Abstract High-throughput imaging is highly desirable in intelligent analysis of computer vision tasks. In conventional design, throughput is limited by the separation between physical image capture and digital post processing. Computational imaging increases throughput by mixing analog and digital p...

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Bibliographic Details
Main Authors: Zhihong Zhang, Bo Zhang, Xin Yuan, Siming Zheng, Xiongfei Su, Jinli Suo, David J. Brady, Qionghai Dai
Format: Article
Language:English
Published: SpringerOpen 2022-09-01
Series:PhotoniX
Subjects:
Snapshot compressive imaging
Semantic computer vision
Computational imaging
Deep learning
Online Access:https://doi.org/10.1186/s43074-022-00065-1

Internet

https://doi.org/10.1186/s43074-022-00065-1

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