Analysis and compression of plenoptic camera images with Zernike polynomials

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

doi:10.1117/12.929720

19 October 2012 Analysis and compression of plenoptic camera images with Zernike polynomials

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

Proceedings Volume 8487, Novel Optical Systems Design and Optimization XV; 84870G (2012) https://doi.org/10.1117/12.929720
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

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.

Citation Download Citation

Jim Schwiegerling, Gabriel C. Birch, and J. Scott Tyo "Analysis and compression of plenoptic camera images with Zernike polynomials", Proc. SPIE 8487, Novel Optical Systems Design and Optimization XV, 84870G (19 October 2012); https://doi.org/10.1117/12.929720

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