Low SWaP SWIR video engine for image intensifier replacement

I. Hirsh; E. Louzon; A. Aharon; R. Gazit; D. Bar; P. Kondrashov; M. Weinstein; M. Savchenko; M. Regensburger; A. Navon; E. Shunam; O. Rahat; A. Mediouni; E. Mor; A. Shay; R. Iosevich; M. Ben-Ezra; A. Tuito; I. Shtrichman

doi:10.1117/12.2303705

Low SWaP SWIR video engine for image intensifier replacement

I. Hirsh, E. Louzon, A. Aharon, R. Gazit, D. Bar, P. Kondrashov, M. Weinstein, M. Savchenko, M. Regensburger, A. Navon, E. Shunam, O. Rahat, A. Mediouni, E. Mor, A. Shay, R. Iosevich, M. Ben-Ezra, A. Tuito, I. Shtrichman

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Night Vision Imaging in the Short-Wave Infra-Red (SWIR) has some unique advantages over Visible, Near Infra-Red (NIR) or thermal imaging. It benefits from relatively high irradiance levels and intuitive reflective imaging. InGaAs/InP is the leading technology for two-dimensional (2D) SWIR detector arrays, utilizing low dark current, high efficiency and excellent uniformity. SCD's SWIR Imager is a low Size, Weight and Power (SWaP) video engine based on a low noise 640x512/15μm InGaAs Focal Plane Array (FPA) embedded in a low cost plastic package which includes a Thermo-Electric Cooler (TEC). The SWIR Imager dimensions are 31x31x32 mm³, it weighs 50 gram and has less than 1.4W Power consumption (excluding TEC). It supports conventional video formats, such as Camera Link and BT.656. The video engine image processing algorithms include Non-Uniformity Correction (NUC), Auto Exposure Control (AEC), Auto Gain Control (AGC), Dynamic Range Compression (DRC) and de-noising algorithms. The algorithms are specifically optimized for Low Light Level (LLL) conditions enabling imaging from sub mlux to 100 Klux light levels. In this work we will review the optimized video engine LLL architecture, electro-optical performance and the applicability to night vision systems.

Original language	English
Title of host publication	Infrared Technology and Applications XLIV
Editors	Bjorn F. Andresen, Paul R. Norton, Gabor F. Fulop, Charles M. Hanson, John Lester Miller
Publisher	SPIE
ISBN (Electronic)	9781510617599
DOIs	https://doi.org/10.1117/12.2303705
State	Published - 1 Jan 2018
Externally published	Yes
Event	Infrared Technology and Applications XLIV 2018 - Orlando, United States Duration: 16 Apr 2018 → 19 Apr 2018

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10624
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Infrared Technology and Applications XLIV 2018
Country/Territory	United States
City	Orlando
Period	16/04/18 → 19/04/18

Keywords

Infrared detector
InGaAs
Low light level imaging
SWIR

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2303705

Cite this

Hirsh, I., Louzon, E., Aharon, A., Gazit, R., Bar, D., Kondrashov, P., Weinstein, M., Savchenko, M., Regensburger, M., Navon, A., Shunam, E., Rahat, O., Mediouni, A., Mor, E., Shay, A., Iosevich, R., Ben-Ezra, M., Tuito, A., & Shtrichman, I. (2018). Low SWaP SWIR video engine for image intensifier replacement. In B. F. Andresen, P. R. Norton, G. F. Fulop, C. M. Hanson, & J. L. Miller (Eds.), Infrared Technology and Applications XLIV Article 1062406 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10624). SPIE. https://doi.org/10.1117/12.2303705

@inproceedings{0037c45598784909ba84122562b6056d,

title = "Low SWaP SWIR video engine for image intensifier replacement",

abstract = "Night Vision Imaging in the Short-Wave Infra-Red (SWIR) has some unique advantages over Visible, Near Infra-Red (NIR) or thermal imaging. It benefits from relatively high irradiance levels and intuitive reflective imaging. InGaAs/InP is the leading technology for two-dimensional (2D) SWIR detector arrays, utilizing low dark current, high efficiency and excellent uniformity. SCD's SWIR Imager is a low Size, Weight and Power (SWaP) video engine based on a low noise 640x512/15μm InGaAs Focal Plane Array (FPA) embedded in a low cost plastic package which includes a Thermo-Electric Cooler (TEC). The SWIR Imager dimensions are 31x31x32 mm3, it weighs 50 gram and has less than 1.4W Power consumption (excluding TEC). It supports conventional video formats, such as Camera Link and BT.656. The video engine image processing algorithms include Non-Uniformity Correction (NUC), Auto Exposure Control (AEC), Auto Gain Control (AGC), Dynamic Range Compression (DRC) and de-noising algorithms. The algorithms are specifically optimized for Low Light Level (LLL) conditions enabling imaging from sub mlux to 100 Klux light levels. In this work we will review the optimized video engine LLL architecture, electro-optical performance and the applicability to night vision systems.",

keywords = "Infrared detector, InGaAs, Low light level imaging, SWIR",

author = "I. Hirsh and E. Louzon and A. Aharon and R. Gazit and D. Bar and P. Kondrashov and M. Weinstein and M. Savchenko and M. Regensburger and A. Navon and E. Shunam and O. Rahat and A. Mediouni and E. Mor and A. Shay and R. Iosevich and M. Ben-Ezra and A. Tuito and I. Shtrichman",

note = "Publisher Copyright: {\textcopyright} 2018 SPIE.; Infrared Technology and Applications XLIV 2018 ; Conference date: 16-04-2018 Through 19-04-2018",

year = "2018",

month = jan,

day = "1",

doi = "10.1117/12.2303705",

language = "English",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "SPIE",

editor = "Andresen, {Bjorn F.} and Norton, {Paul R.} and Fulop, {Gabor F.} and Hanson, {Charles M.} and Miller, {John Lester}",

booktitle = "Infrared Technology and Applications XLIV",

address = "United States",

}

Hirsh, I, Louzon, E, Aharon, A, Gazit, R, Bar, D, Kondrashov, P, Weinstein, M, Savchenko, M, Regensburger, M, Navon, A, Shunam, E, Rahat, O, Mediouni, A, Mor, E, Shay, A, Iosevich, R, Ben-Ezra, M, Tuito, A & Shtrichman, I 2018, Low SWaP SWIR video engine for image intensifier replacement. in BF Andresen, PR Norton, GF Fulop, CM Hanson & JL Miller (eds), Infrared Technology and Applications XLIV., 1062406, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10624, SPIE, Infrared Technology and Applications XLIV 2018, Orlando, United States, 16/04/18. https://doi.org/10.1117/12.2303705

Low SWaP SWIR video engine for image intensifier replacement. / Hirsh, I.; Louzon, E.; Aharon, A. et al.
Infrared Technology and Applications XLIV. ed. / Bjorn F. Andresen; Paul R. Norton; Gabor F. Fulop; Charles M. Hanson; John Lester Miller. SPIE, 2018. 1062406 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10624).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hirsh, I.

AU - Louzon, E.

AU - Aharon, A.

AU - Gazit, R.

AU - Bar, D.

AU - Kondrashov, P.

AU - Weinstein, M.

AU - Savchenko, M.

AU - Regensburger, M.

AU - Navon, A.

AU - Shunam, E.

AU - Rahat, O.

AU - Mediouni, A.

AU - Mor, E.

AU - Shay, A.

AU - Iosevich, R.

AU - Ben-Ezra, M.

AU - Tuito, A.

AU - Shtrichman, I.

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N2 - Night Vision Imaging in the Short-Wave Infra-Red (SWIR) has some unique advantages over Visible, Near Infra-Red (NIR) or thermal imaging. It benefits from relatively high irradiance levels and intuitive reflective imaging. InGaAs/InP is the leading technology for two-dimensional (2D) SWIR detector arrays, utilizing low dark current, high efficiency and excellent uniformity. SCD's SWIR Imager is a low Size, Weight and Power (SWaP) video engine based on a low noise 640x512/15μm InGaAs Focal Plane Array (FPA) embedded in a low cost plastic package which includes a Thermo-Electric Cooler (TEC). The SWIR Imager dimensions are 31x31x32 mm3, it weighs 50 gram and has less than 1.4W Power consumption (excluding TEC). It supports conventional video formats, such as Camera Link and BT.656. The video engine image processing algorithms include Non-Uniformity Correction (NUC), Auto Exposure Control (AEC), Auto Gain Control (AGC), Dynamic Range Compression (DRC) and de-noising algorithms. The algorithms are specifically optimized for Low Light Level (LLL) conditions enabling imaging from sub mlux to 100 Klux light levels. In this work we will review the optimized video engine LLL architecture, electro-optical performance and the applicability to night vision systems.

AB - Night Vision Imaging in the Short-Wave Infra-Red (SWIR) has some unique advantages over Visible, Near Infra-Red (NIR) or thermal imaging. It benefits from relatively high irradiance levels and intuitive reflective imaging. InGaAs/InP is the leading technology for two-dimensional (2D) SWIR detector arrays, utilizing low dark current, high efficiency and excellent uniformity. SCD's SWIR Imager is a low Size, Weight and Power (SWaP) video engine based on a low noise 640x512/15μm InGaAs Focal Plane Array (FPA) embedded in a low cost plastic package which includes a Thermo-Electric Cooler (TEC). The SWIR Imager dimensions are 31x31x32 mm3, it weighs 50 gram and has less than 1.4W Power consumption (excluding TEC). It supports conventional video formats, such as Camera Link and BT.656. The video engine image processing algorithms include Non-Uniformity Correction (NUC), Auto Exposure Control (AEC), Auto Gain Control (AGC), Dynamic Range Compression (DRC) and de-noising algorithms. The algorithms are specifically optimized for Low Light Level (LLL) conditions enabling imaging from sub mlux to 100 Klux light levels. In this work we will review the optimized video engine LLL architecture, electro-optical performance and the applicability to night vision systems.

KW - Infrared detector

KW - InGaAs

KW - Low light level imaging

KW - SWIR

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T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Infrared Technology and Applications XLIV

A2 - Andresen, Bjorn F.

A2 - Norton, Paul R.

A2 - Fulop, Gabor F.

A2 - Hanson, Charles M.

A2 - Miller, John Lester

PB - SPIE

T2 - Infrared Technology and Applications XLIV 2018

Y2 - 16 April 2018 through 19 April 2018

ER -

Low SWaP SWIR video engine for image intensifier replacement

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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