A theory of plenoptic multiplexing

Ivo Ihrke; Gordon Wetzstein; Wolfgang Heidrich

doi:10.1109/CVPR.2010.5540174

A theory of plenoptic multiplexing

Ivo Ihrke^*, Gordon Wetzstein, Wolfgang Heidrich

^*Corresponding author for this work

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

21 Scopus citations

Abstract

Multiplexing is a common technique for encoding high-dimensional image data into a single, two-dimensional image. Examples of spatial multiplexing include Bayer patterns to capture color channels, and integral images to encode light fields. In the Fourier domain, optical heterodyning has been used to acquire light fields. In this paper, we develop a general theory of multiplexing the dimensions of the plenoptic function onto an image sensor. Our theory enables a principled comparison of plenoptic multiplexing schemes, including noise analysis, as well as the development of a generic reconstruction algorithm. The framework also aides in the identification and optimization of novel multiplexed imaging applications.

Original language	English (US)
Title of host publication	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
Pages	483-490
Number of pages	8
DOIs	https://doi.org/10.1109/CVPR.2010.5540174
State	Published - 2010
Externally published	Yes
Event	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 - San Francisco, CA, United States Duration: Jun 13 2010 → Jun 18 2010

Publication series

Name	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
ISSN (Print)	1063-6919

Other

Other	2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
Country/Territory	United States
City	San Francisco, CA
Period	06/13/10 → 06/18/10

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition

Access to Document

10.1109/CVPR.2010.5540174

Cite this

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title = "A theory of plenoptic multiplexing",

abstract = "Multiplexing is a common technique for encoding high-dimensional image data into a single, two-dimensional image. Examples of spatial multiplexing include Bayer patterns to capture color channels, and integral images to encode light fields. In the Fourier domain, optical heterodyning has been used to acquire light fields. In this paper, we develop a general theory of multiplexing the dimensions of the plenoptic function onto an image sensor. Our theory enables a principled comparison of plenoptic multiplexing schemes, including noise analysis, as well as the development of a generic reconstruction algorithm. The framework also aides in the identification and optimization of novel multiplexed imaging applications.",

author = "Ivo Ihrke and Gordon Wetzstein and Wolfgang Heidrich",

year = "2010",

doi = "10.1109/CVPR.2010.5540174",

language = "English (US)",

isbn = "9781424469840",

series = "Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition",

pages = "483--490",

booktitle = "2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010",

note = "2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 ; Conference date: 13-06-2010 Through 18-06-2010",

}

Ihrke, I, Wetzstein, G & Heidrich, W 2010, A theory of plenoptic multiplexing. in 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010., 5540174, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 483-490, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010, San Francisco, CA, United States, 06/13/10. https://doi.org/10.1109/CVPR.2010.5540174

A theory of plenoptic multiplexing. / Ihrke, Ivo; Wetzstein, Gordon; Heidrich, Wolfgang.
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010. 2010. p. 483-490 5540174 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

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AU - Wetzstein, Gordon

AU - Heidrich, Wolfgang

PY - 2010

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AB - Multiplexing is a common technique for encoding high-dimensional image data into a single, two-dimensional image. Examples of spatial multiplexing include Bayer patterns to capture color channels, and integral images to encode light fields. In the Fourier domain, optical heterodyning has been used to acquire light fields. In this paper, we develop a general theory of multiplexing the dimensions of the plenoptic function onto an image sensor. Our theory enables a principled comparison of plenoptic multiplexing schemes, including noise analysis, as well as the development of a generic reconstruction algorithm. The framework also aides in the identification and optimization of novel multiplexed imaging applications.

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DO - 10.1109/CVPR.2010.5540174

M3 - Conference contribution

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T3 - Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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BT - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010

T2 - 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010

Y2 - 13 June 2010 through 18 June 2010

ER -

A theory of plenoptic multiplexing

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