التفاصيل البيبلوغرافية
| العنوان: |
One-Bit Time-Resolved Imaging. |
| المؤلفون: |
Bhandari A, Conde MH, Loffeld O |
| المصدر: |
IEEE transactions on pattern analysis and machine intelligence [IEEE Trans Pattern Anal Mach Intell] 2020 Jul; Vol. 42 (7), pp. 1630-1641. Date of Electronic Publication: 2020 Apr 13. |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: IEEE Computer Society Country of Publication: United States NLM ID: 9885960 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1939-3539 (Electronic) Linking ISSN: 00985589 NLM ISO Abbreviation: IEEE Trans Pattern Anal Mach Intell Subsets: PubMed not MEDLINE; MEDLINE |
| أسماء مطبوعة: |
Original Publication: [New York] IEEE Computer Society. |
| مستخلص: |
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. |
| معلومات مُعتمدة: |
MR/S034897/1 United Kingdom MRC_ Medical Research Council |
| تواريخ الأحداث: |
Date Created: 20200420 Latest Revision: 20210110 |
| رمز التحديث: |
20231215 |
| DOI: |
10.1109/TPAMI.2020.2986950 |
| PMID: |
32305900 |
| قاعدة البيانات: |
MEDLINE |
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