Analysis and compression of plenoptic camera images with zernike polynomials

Jim Schwiegerling; Gabriel C. Birch; J. Scott Tyo

doi:10.1117/12.929720

Analysis and compression of plenoptic camera images with zernike polynomials

Jim Schwiegerling, Gabriel C. Birch, J. Scott Tyo

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

5 Citations (Scopus)

Abstract

Capturing light field data with a plenoptic camera has been discussed extensively in the literature. However, recent improvements in digital imaging have made demonstration and commercialization of plenoptic cameras feasible. The raw images obtained with plenoptic cameras consist of an array of small circular images, each of which capture local spatial and trajectory information regarding the light rays incident on that point. Here, we seek to develop techniques for representing such images with a natural set of basis functions. In doing so, reconstruction of slices through the light field data, as well as image compression can be easily achieved.

Original language	English
Title of host publication	Novel Optical Systems Design and Optimization XV
Publisher	SPIE - International Society for Optical Engineering
ISBN (Print)	9780819492043
DOIs	https://doi.org/10.1117/12.929720
Publication status	Published - 2012
Externally published	Yes
Event	Conference on Novel Optical Systems Design and Optimization XV - San Diego, United States of America Duration: 15 Aug 2012 → 16 Aug 2012 https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8487.toc

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8487
ISSN (Print)	0277-786X

Conference

Conference	Conference on Novel Optical Systems Design and Optimization XV
Country/Territory	United States of America
City	San Diego
Period	15/08/12 → 16/08/12
Internet address	https://www.spiedigitallibrary.org/conference-proceedings-of-spie/8487.toc

Keywords

Compression
Computational photography
Light field
Plenoptic camera
Zernike polynomials

Access to Document

10.1117/12.929720

Cite this

Schwiegerling, J., Birch, G. C., & Tyo, J. S. (2012). Analysis and compression of plenoptic camera images with zernike polynomials. In Novel Optical Systems Design and Optimization XV Article 84870G (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8487). SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.929720

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title = "Analysis and compression of plenoptic camera images with zernike polynomials",

abstract = "Capturing light field data with a plenoptic camera has been discussed extensively in the literature. However, recent improvements in digital imaging have made demonstration and commercialization of plenoptic cameras feasible. The raw images obtained with plenoptic cameras consist of an array of small circular images, each of which capture local spatial and trajectory information regarding the light rays incident on that point. Here, we seek to develop techniques for representing such images with a natural set of basis functions. In doing so, reconstruction of slices through the light field data, as well as image compression can be easily achieved.",

keywords = "Compression, Computational photography, Light field, Plenoptic camera, Zernike polynomials",

author = "Jim Schwiegerling and Birch, {Gabriel C.} and Tyo, {J. Scott}",

year = "2012",

doi = "10.1117/12.929720",

language = "English",

isbn = "9780819492043",

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

publisher = "SPIE - International Society for Optical Engineering",

booktitle = "Novel Optical Systems Design and Optimization XV",

address = "United States of America",

note = "Conference on Novel Optical Systems Design and Optimization XV ; Conference date: 15-08-2012 Through 16-08-2012",

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Schwiegerling, J, Birch, GC & Tyo, JS 2012, Analysis and compression of plenoptic camera images with zernike polynomials. in Novel Optical Systems Design and Optimization XV., 84870G, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8487, SPIE - International Society for Optical Engineering, Conference on Novel Optical Systems Design and Optimization XV, San Diego, California, United States of America, 15/08/12. https://doi.org/10.1117/12.929720

Analysis and compression of plenoptic camera images with zernike polynomials. / Schwiegerling, Jim; Birch, Gabriel C.; Tyo, J. Scott.
Novel Optical Systems Design and Optimization XV. SPIE - International Society for Optical Engineering, 2012. 84870G (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8487).

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

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AU - Birch, Gabriel C.

AU - Tyo, J. Scott

PY - 2012

Y1 - 2012

N2 - Capturing light field data with a plenoptic camera has been discussed extensively in the literature. However, recent improvements in digital imaging have made demonstration and commercialization of plenoptic cameras feasible. The raw images obtained with plenoptic cameras consist of an array of small circular images, each of which capture local spatial and trajectory information regarding the light rays incident on that point. Here, we seek to develop techniques for representing such images with a natural set of basis functions. In doing so, reconstruction of slices through the light field data, as well as image compression can be easily achieved.

AB - Capturing light field data with a plenoptic camera has been discussed extensively in the literature. However, recent improvements in digital imaging have made demonstration and commercialization of plenoptic cameras feasible. The raw images obtained with plenoptic cameras consist of an array of small circular images, each of which capture local spatial and trajectory information regarding the light rays incident on that point. Here, we seek to develop techniques for representing such images with a natural set of basis functions. In doing so, reconstruction of slices through the light field data, as well as image compression can be easily achieved.

KW - Compression

KW - Computational photography

KW - Light field

KW - Plenoptic camera

KW - Zernike polynomials

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ER -

Analysis and compression of plenoptic camera images with zernike polynomials

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