Superresolution performance for undersampled imagers

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

doi:10.1117/1.1829551

Superresolution performance for undersampled imagers

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

Research output: Contribution to journal › Article › peer-review

23 Scopus citations

Abstract

Enhancement of undersampled imager performance has been demonstrated using superresolution techniques. In these techniques, the optical flow of the scene or the relative subpixel shifts among various snapshots of the scene are calculated, and a high-resolution grid is populated with spatial data using various algorithms. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager compared with 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 superresolution frame sequence, dynamic image with undersampled imager, and dynamic image with superresolution frame sequence.

Original language	English (US)
Pages (from-to)	1-9
Number of pages	9
Journal	Optical Engineering
Volume	44
Issue number	1
DOIs	https://doi.org/10.1117/1.1829551
State	Published - Jan 2005
Externally published	Yes

Keywords

Imager performance
Sampling

ASJC Scopus subject areas

Atomic and Molecular Physics, and Optics
General Engineering

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10.1117/1.1829551

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abstract = "Enhancement of undersampled imager performance has been demonstrated using superresolution techniques. In these techniques, the optical flow of the scene or the relative subpixel shifts among various snapshots of the scene are calculated, and a high-resolution grid is populated with spatial data using various algorithms. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager compared with 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 superresolution frame sequence, dynamic image with undersampled imager, and dynamic image with superresolution frame sequence.",

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AU - Krapels, Keith

AU - Murrill, Steve

AU - Young, Susan

AU - Thielke, Matthew

AU - Schuler, Jonathon

PY - 2005/1

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AB - Enhancement of undersampled imager performance has been demonstrated using superresolution techniques. In these techniques, the optical flow of the scene or the relative subpixel shifts among various snapshots of the scene are calculated, and a high-resolution grid is populated with spatial data using various algorithms. Performance enhancement has been demonstrated for the case of a static image with the undersampled imager compared with 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 superresolution frame sequence, dynamic image with undersampled imager, and dynamic image with superresolution frame sequence.

KW - Imager performance

KW - Sampling

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Superresolution performance for undersampled imagers

Abstract

Keywords

ASJC Scopus subject areas

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