Name
Abstract | ||
|---|---|---|
Over the last few years, holography has been emerging as an alternative to stereoscopic imaging since it provides users with the most realistic and comfortable three-dimensional (3D) experience. However, high-quality holograms enabling a free-viewpoint visualization contain tremendous amount of data. Therefore, a user willing to access to a remote hologram repository would face high downloading time, even with high speed networks. To reduce transmission time, a joint viewpoint-quality scalable compression scheme is proposed. At the encoder side, the hologram is first decomposed into a sparse set of diffracted light rays using Matching Pursuit over a Gabor atoms dictionary. Then, the atoms corresponding to a given user’s viewpoint are selected to form a sub-hologram. Finally, the pruned atoms are sorted and encoded according to their importance for the reconstructed view. The proposed approach allows a progressive decoding of the sub-hologram from the first received atom. Streaming simulations for a moving user reveal that our approach outperforms conventional scalable codecs such as scalable H.265 and enables a practical streaming with a better quality of experience. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s12243-019-00741-7 | Annals of Telecommunications |
Keywords | DocType | Volume |
Digital holography, Diffraction, Compression, Gabor wavelets, Matching pursuit, Streaming, Scalability | Journal | 75 |
Issue | ISSN | Citations |
5-6 | 1958-9395 | 2 |
PageRank | References | Authors |
0.39 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anas El Rhammad | 1 | 2 | 0.39 |
| Patrick Gioia | 2 | 74 | 7.26 |
| Antonin Gilles | 3 | 2 | 0.39 |
| Marco Cagnazzo | 4 | 294 | 34.45 |