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Computational Plenoptic Imaging
Author(s) -
Wetzstein Gordon,
Ihrke Ivo,
Lanman Douglas,
Heidrich Wolfgang
Publication year - 2011
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2011.02073.x
Subject(s) - computer science , computational photography , encode , computer vision , computer graphics (images) , photography , function (biology) , artificial intelligence , process (computing) , visualization , digital photography , optics , physics , image (mathematics) , image processing , art , biochemistry , chemistry , visual arts , evolutionary biology , biology , gene , operating system
The plenoptic function is a ray‐based model for light that includes the colour spectrum as well as spatial, temporal and directional variation. Although digital light sensors have greatly evolved in the last years, one fundamental limitation remains: all standard CCD and CMOS sensors integrate over the dimensions of the plenoptic function as they convert photons into electrons; in the process, all visual information is irreversibly lost, except for a two‐dimensional, spatially varying subset—the common photograph. In this state‐of‐the‐art report, we review approaches that optically encode the dimensions of the plenoptic function transcending those captured by traditional photography and reconstruct the recorded information computationally.