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 proceedingConference contribution

5 Scopus citations


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 languageEnglish (US)
Title of host publicationNovel Optical Systems Design and Optimization XV
StatePublished - 2012
EventNovel Optical Systems Design and Optimization XV - San Diego, CA, United States
Duration: Aug 15 2012Aug 16 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherNovel Optical Systems Design and Optimization XV
Country/TerritoryUnited States
CitySan Diego, CA


  • Compression
  • Computational photography
  • Light field
  • Plenoptic camera
  • Zernike polynomials

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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