Pixel resolution improvement using a sliding mask

A. Mahalanobis, R. Shilling, R. Muise, K. Hines, Mark A Neifeld

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

We propose a short wave infra-red (SWIR) computational imager that employs a sliding mask in an intermediate image plane to produce high resolution images from several encoded lower resolution measurements. The goal is to demonstrate that a relatively small (and consequently inexpensive) focal plane arrays (FPAs) can be used in such architectures to produce high resolution images that would require a much larger FPA. The imaging system is described in terms of the sensor parameters (such as field of view and angular resolution), dimensions of the mask, the detector and FPA size, and some of the underlying design trades are identified. We validate the fundamental principle using a SWIR testbed, and demonstrate the ability to image a scene with four times the native resolution of the FPA.

Original languageEnglish (US)
Title of host publication2016 15th Workshop on Information Optics, WIO 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509021635
DOIs
StatePublished - Nov 15 2016
Event15th Workshop on Information Optics, WIO 2016 - Barcelona, Spain
Duration: Jul 11 2016Jul 15 2016

Other

Other15th Workshop on Information Optics, WIO 2016
CountrySpain
CityBarcelona
Period7/11/167/15/16

Fingerprint

Focal plane arrays
focal plane devices
sliding
Masks
masks
Pixels
pixels
Image resolution
Infrared radiation
high resolution
Optical resolving power
angular resolution
Testbeds
Image sensors
Imaging systems
field of view
Detectors
sensors
detectors
Sensors

Keywords

  • Computational Imaging
  • Super-Resolution

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Cite this

Mahalanobis, A., Shilling, R., Muise, R., Hines, K., & Neifeld, M. A. (2016). Pixel resolution improvement using a sliding mask. In 2016 15th Workshop on Information Optics, WIO 2016 [7745579] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WIO.2016.7745579

Pixel resolution improvement using a sliding mask. / Mahalanobis, A.; Shilling, R.; Muise, R.; Hines, K.; Neifeld, Mark A.

2016 15th Workshop on Information Optics, WIO 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7745579.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mahalanobis, A, Shilling, R, Muise, R, Hines, K & Neifeld, MA 2016, Pixel resolution improvement using a sliding mask. in 2016 15th Workshop on Information Optics, WIO 2016., 7745579, Institute of Electrical and Electronics Engineers Inc., 15th Workshop on Information Optics, WIO 2016, Barcelona, Spain, 7/11/16. https://doi.org/10.1109/WIO.2016.7745579
Mahalanobis A, Shilling R, Muise R, Hines K, Neifeld MA. Pixel resolution improvement using a sliding mask. In 2016 15th Workshop on Information Optics, WIO 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7745579 https://doi.org/10.1109/WIO.2016.7745579
Mahalanobis, A. ; Shilling, R. ; Muise, R. ; Hines, K. ; Neifeld, Mark A. / Pixel resolution improvement using a sliding mask. 2016 15th Workshop on Information Optics, WIO 2016. Institute of Electrical and Electronics Engineers Inc., 2016.
@inproceedings{9c511f18c54441d8bb264eb5819a4298,
title = "Pixel resolution improvement using a sliding mask",
abstract = "We propose a short wave infra-red (SWIR) computational imager that employs a sliding mask in an intermediate image plane to produce high resolution images from several encoded lower resolution measurements. The goal is to demonstrate that a relatively small (and consequently inexpensive) focal plane arrays (FPAs) can be used in such architectures to produce high resolution images that would require a much larger FPA. The imaging system is described in terms of the sensor parameters (such as field of view and angular resolution), dimensions of the mask, the detector and FPA size, and some of the underlying design trades are identified. We validate the fundamental principle using a SWIR testbed, and demonstrate the ability to image a scene with four times the native resolution of the FPA.",
keywords = "Computational Imaging, Super-Resolution",
author = "A. Mahalanobis and R. Shilling and R. Muise and K. Hines and Neifeld, {Mark A}",
year = "2016",
month = "11",
day = "15",
doi = "10.1109/WIO.2016.7745579",
language = "English (US)",
booktitle = "2016 15th Workshop on Information Optics, WIO 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",

}

TY - GEN

T1 - Pixel resolution improvement using a sliding mask

AU - Mahalanobis, A.

AU - Shilling, R.

AU - Muise, R.

AU - Hines, K.

AU - Neifeld, Mark A

PY - 2016/11/15

Y1 - 2016/11/15

N2 - We propose a short wave infra-red (SWIR) computational imager that employs a sliding mask in an intermediate image plane to produce high resolution images from several encoded lower resolution measurements. The goal is to demonstrate that a relatively small (and consequently inexpensive) focal plane arrays (FPAs) can be used in such architectures to produce high resolution images that would require a much larger FPA. The imaging system is described in terms of the sensor parameters (such as field of view and angular resolution), dimensions of the mask, the detector and FPA size, and some of the underlying design trades are identified. We validate the fundamental principle using a SWIR testbed, and demonstrate the ability to image a scene with four times the native resolution of the FPA.

AB - We propose a short wave infra-red (SWIR) computational imager that employs a sliding mask in an intermediate image plane to produce high resolution images from several encoded lower resolution measurements. The goal is to demonstrate that a relatively small (and consequently inexpensive) focal plane arrays (FPAs) can be used in such architectures to produce high resolution images that would require a much larger FPA. The imaging system is described in terms of the sensor parameters (such as field of view and angular resolution), dimensions of the mask, the detector and FPA size, and some of the underlying design trades are identified. We validate the fundamental principle using a SWIR testbed, and demonstrate the ability to image a scene with four times the native resolution of the FPA.

KW - Computational Imaging

KW - Super-Resolution

UR - http://www.scopus.com/inward/record.url?scp=85003819788&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85003819788&partnerID=8YFLogxK

U2 - 10.1109/WIO.2016.7745579

DO - 10.1109/WIO.2016.7745579

M3 - Conference contribution

AN - SCOPUS:85003819788

BT - 2016 15th Workshop on Information Optics, WIO 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -