Super-resolution performance for undersampled imagers

Keith Krapels; Ronald G. Driggers; Steve Murrill; Jonathan Schuler; Matthew Thielke; Susan Young

doi:10.1117/12.541370

Super-resolution performance for undersampled imagers

Keith Krapels, Ronald G. Driggers, Steve Murrill, Jonathan Schuler, Matthew Thielke, Susan Young

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

The enhancement of undersampled imager performance has been demonstrated using super-resolution techniques. In these techniques, the optical flow of the scene or the relative sub-pixel shifts between frames is calculated and a high resolution grid is populated with spatial data based as a result of scene motion. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager output compared to a static image that has been acquired through a frame series in a dynamic scene. In this research, the performance is compared for four cases: static image with undersampled imager, static image with super-resolution frame sequence, dynamic image with undersampled imager, and dynamic image with super-resolution frame sequence.

Original language	English (US)
Pages (from-to)	139-149
Number of pages	11
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5407
DOIs	https://doi.org/10.1117/12.541370
State	Published - 2004
Externally published	Yes
Event	Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XV - Orlando, FL, United States Duration: Apr 14 2004 → Apr 15 2004

ASJC Scopus subject areas

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

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title = "Super-resolution performance for undersampled imagers",

abstract = "The enhancement of undersampled imager performance has been demonstrated using super-resolution techniques. In these techniques, the optical flow of the scene or the relative sub-pixel shifts between frames is calculated and a high resolution grid is populated with spatial data based as a result of scene motion. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager output compared to a static image that has been acquired through a frame series in a dynamic scene. In this research, the performance is compared for four cases: static image with undersampled imager, static image with super-resolution frame sequence, dynamic image with undersampled imager, and dynamic image with super-resolution frame sequence.",

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T1 - Super-resolution performance for undersampled imagers

AU - Krapels, Keith

AU - Driggers, Ronald G.

AU - Murrill, Steve

AU - Schuler, Jonathan

AU - Thielke, Matthew

AU - Young, Susan

PY - 2004

Y1 - 2004

N2 - The enhancement of undersampled imager performance has been demonstrated using super-resolution techniques. In these techniques, the optical flow of the scene or the relative sub-pixel shifts between frames is calculated and a high resolution grid is populated with spatial data based as a result of scene motion. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager output compared to a static image that has been acquired through a frame series in a dynamic scene. In this research, the performance is compared for four cases: static image with undersampled imager, static image with super-resolution frame sequence, dynamic image with undersampled imager, and dynamic image with super-resolution frame sequence.

AB - The enhancement of undersampled imager performance has been demonstrated using super-resolution techniques. In these techniques, the optical flow of the scene or the relative sub-pixel shifts between frames is calculated and a high resolution grid is populated with spatial data based as a result of scene motion. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager output compared to a static image that has been acquired through a frame series in a dynamic scene. In this research, the performance is compared for four cases: static image with undersampled imager, static image with super-resolution frame sequence, dynamic image with undersampled imager, and dynamic image with super-resolution frame sequence.

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

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

T2 - Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XV

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ER -

Super-resolution performance for undersampled imagers

Abstract

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