On Plenoptic Multiplexing and Reconstruction

Abstract : Photography has been striving to capture an ever increasing amount of visual information in a single image. Digital sensors, however, are limited to recording a small subset of the desired information at each pixel. A common approach to overcoming the limitations of sensing hardware is the optical multiplexing of high-dimensional data into a photograph. While this is a well-studied topic for imaging with color filter arrays, we develop a mathematical framework that generalizes multiplexed imaging to all dimensions of the plenoptic function. This framework unifies a wide variety of existing approaches to analyze and reconstruct multiplexed data in either the spatial or the frequency domain. We demonstrate many practical applications of our framework including high-quality light field reconstruction, the first comparative noise analysis of light field attenuation masks, and an analysis of aliasing in multiplexing applications.
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Submitted on : Tuesday, November 5, 2013 - 2:25:05 PM
Last modification on : Thursday, January 11, 2018 - 6:24:06 AM
Long-term archiving on : Thursday, February 6, 2014 - 2:55:17 AM

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Gordon Wetzstein, Ivo Ihrke, Wolfgang Heidrich. On Plenoptic Multiplexing and Reconstruction. International Journal on Computer Vision (IJCV), Springer, 2013, 101 (2), pp.384--400. ⟨hal-00876493⟩

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