publication . Conference object . 2019

Light Field Compression using Fourier Disparity Layers

Elian Dib; Mikael Le Pendu; Christine Guillemot;
Open Access English
  • Published: 22 Sep 2019
  • Publisher: HAL CCSD
  • Country: France
International audience; In this paper, we present a compression method for light fields based on the Fourier Disparity Layer representation. This light field representation consists in a set of layers that can be efficiently constructed in the Fourier domain from a sparse set of views, and then used to reconstruct intermediate viewpoints without requiring a disparity map. In the proposed compression scheme, a subset of light field views is encoded first and used to construct a Fourier Disparity Layer model from which a second subset of views is predicted. After encoding and decoding the residual of those predicted views, a larger set of decoded views is availabl...
Persistent Identifiers
free text keywords: [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, Calibration, Light field, Residual, Computer science, Iterative reconstruction, Decoding methods, Encoding (memory), Fourier transform, symbols.namesake, symbols, Data compression, Algorithm
Funded by
SFI| V-SENSE - Extending Visual Sensation through Image-Based Visual Computing
  • Funder: Science Foundation Ireland (SFI)
  • Project Code: 15/RP/2776
  • Funding stream: SFI Research Professorship Programme
Computational Light fields IMaging
  • Funder: European Commission (EC)
  • Project Code: 694122
  • Funding stream: H2020 | ERC | ERC-ADG
Validated by funder
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