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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Contributeur : Ivo Ihrke <>
Soumis le : mardi 5 novembre 2013 - 14:25:05
Dernière modification le : jeudi 11 janvier 2018 - 06:24:06
Document(s) archivé(s) le : jeudi 6 février 2014 - 02:55:17


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  • HAL Id : hal-00876493, version 1


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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