One-bit time-resolved imaging
File(s)
Accepted version
Author(s)
Bhandari, Ayush
Conde, Miguel Heredia
Loffeld, Otmar
Type
Journal Article
Abstract
Spatial resolution is one of the fundamental bottlenecks in the area of time-resolved imaging. Since each pixel measures a scene-dependent time profile, there is a technological limit on the size of pixel arrays that can be simultaneously used to perform measurements. To overcome this barrier, in this paper, we propose a low-complexity, one-bit sensing scheme. On the data capture front, the time-resolved measurements are mapped to a sequence of +1 and -1. This leads to an extremely simple implementation and at the same time poses a new form of information loss. On the image recovery front, our one-bit time-resolved imaging scheme is complemented with a non-iterative recovery algorithm that can handle the case of single and multiple light paths. Extensive computer simulations and physical experiments benchmarked against conventional Time-of-Flight imaging data corroborate our theoretical framework. Thus, our low-complexity alternative to time-resolved imaging can indeed potentially lead to a new imaging methodology.
Date Issued
2020-07-01
Date Acceptance
2020-04-04
Citation
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42 (7), pp.1630-1641
ISSN
0162-8828
Publisher
Institute of Electrical and Electronics Engineers
Start Page
1630
End Page
1641
Journal / Book Title
IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume
42
Issue
7
Copyright Statement
Copyright © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000542967200009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Computational imaging
Computer Science
Computer Science, Artificial Intelligence
Current measurement
Engineering
Engineering, Electrical & Electronic
Image resolution
Imaging
inverse problems
one-bit sampling
Photonics
Quantization (signal)
Science & Technology
Sensors
SIGNALS
sparse recovery and time-resolved imaging
Technology
Time measurement
Publication Status
Published
Date Publish Online
2020-04-13