Parallel cameras

David J. Brady; Wubin Pang; Han Li; Zhan Ma; Yue Tao; Xun Cao

doi:10.1364/OPTICA.5.000127

Parallel cameras

David J. Brady, Wubin Pang, Han Li, Zhan Ma, Yue Tao, Xun Cao

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

44 Scopus citations

Abstract

Parallel lens systems and parallel image signal processing enable cost efficient and compact cameras to capture gigapixel scale images. This paper reviews the context of such cameras in the developing field of computational imaging and discusses how parallel architectures impact optical and electronic processing design. Using an array camera operating system initially developed under the Defense Advanced Research Projects Agency Advanced Wide FOV Architectures for Image Reconstruction and Exploitation program, we illustrate the state of parallel camera development with example 100 megapixel videos.

Original language	English (US)
Article number	2334-2536/18/020127-11
Pages (from-to)	127-137
Number of pages	11
Journal	Optica
Volume	5
Issue number	2
DOIs	https://doi.org/10.1364/OPTICA.5.000127
State	Published - Feb 20 2018
Externally published	Yes

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics

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10.1364/OPTICA.5.000127

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title = "Parallel cameras",

abstract = "Parallel lens systems and parallel image signal processing enable cost efficient and compact cameras to capture gigapixel scale images. This paper reviews the context of such cameras in the developing field of computational imaging and discusses how parallel architectures impact optical and electronic processing design. Using an array camera operating system initially developed under the Defense Advanced Research Projects Agency Advanced Wide FOV Architectures for Image Reconstruction and Exploitation program, we illustrate the state of parallel camera development with example 100 megapixel videos.",

author = "Brady, {David J.} and Wubin Pang and Han Li and Zhan Ma and Yue Tao and Xun Cao",

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AU - Brady, David J.

AU - Pang, Wubin

AU - Li, Han

AU - Ma, Zhan

AU - Tao, Yue

AU - Cao, Xun

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Y1 - 2018/2/20

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AB - Parallel lens systems and parallel image signal processing enable cost efficient and compact cameras to capture gigapixel scale images. This paper reviews the context of such cameras in the developing field of computational imaging and discusses how parallel architectures impact optical and electronic processing design. Using an array camera operating system initially developed under the Defense Advanced Research Projects Agency Advanced Wide FOV Architectures for Image Reconstruction and Exploitation program, we illustrate the state of parallel camera development with example 100 megapixel videos.

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Parallel cameras

Abstract

ASJC Scopus subject areas

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