On Plenoptic Multiplexing and Reconstruction
| hal.structure.identifier | MIT media Lab | |
| dc.contributor.author | WETZSTEIN, Gordon | |
| hal.structure.identifier | Melting the frontiers between Light, Shape and Matter [MANAO] | |
| hal.structure.identifier | Laboratoire Photonique, Numérique et Nanosciences [LP2N] | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | IHRKE, Ivo | |
| hal.structure.identifier | Computer Science Department [UBC-Computer Science] | |
| dc.contributor.author | HEIDRICH, Wolfgang | |
| dc.date.accessioned | 2023-05-12T10:21:27Z | |
| dc.date.available | 2023-05-12T10:21:27Z | |
| dc.date.issued | 2013 | |
| dc.identifier.issn | 0920-5691 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/181110 | |
| dc.description.abstractEn | 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. | |
| dc.language.iso | en | |
| dc.publisher | Springer Verlag | |
| dc.title.en | On Plenoptic Multiplexing and Reconstruction | |
| dc.type | Article de revue | |
| dc.subject.hal | Physique [physics]/Physique [physics]/Optique [physics.optics] | |
| dc.subject.hal | Informatique [cs]/Traitement du signal et de l'image | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
| dc.subject.hal | Informatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR] | |
| dc.subject.hal | Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV] | |
| bordeaux.journal | International Journal of Computer Vision | |
| bordeaux.page | 384--400 | |
| bordeaux.volume | 101 | |
| bordeaux.hal.laboratories | Laboratoire Photonique, Numérique et Nanosciences (LP2N) - UMR 5298 | * |
| bordeaux.issue | 2 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-00876493 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-00876493v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=International%20Journal%20of%20Computer%20Vision&rft.date=2013&rft.volume=101&rft.issue=2&rft.spage=384--400&rft.epage=384--400&rft.eissn=0920-5691&rft.issn=0920-5691&rft.au=WETZSTEIN,%20Gordon&IHRKE,%20Ivo&HEIDRICH,%20Wolfgang&rft.genre=article |
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