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Proceedings Paper

Analysis and compression of plenoptic camera images with Zernike polynomials
Author(s): Jim Schwiegerling; Gabriel C. Birch; J. Scott Tyo
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Paper 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.

Paper Details

Date Published: 19 October 2012
PDF: 7 pages
Proc. SPIE 8487, Novel Optical Systems Design and Optimization XV, 84870G (19 October 2012); doi: 10.1117/12.929720
Show Author Affiliations
Jim Schwiegerling, College of Optical Sciences, The Univ. of Arizona (United States)
Gabriel C. Birch, College of Optical Sciences, The Univ. of Arizona (United States)
J. Scott Tyo, College of Optical Sciences, The Univ. of Arizona (United States)


Published in SPIE Proceedings Vol. 8487:
Novel Optical Systems Design and Optimization XV
G. Groot Gregory; Arthur J. Davis, Editor(s)

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