Name
Abstract | ||
|---|---|---|
Over the last decade, advancements in optical devices have made it possible for new novel image acquisition technologies to appear. Angular information for each spatial point is acquired in addition to the spatial information of the scene that enables 3D scene reconstruction and various post-processing effects. Current generation of plenoptic cameras spatially multiplex the angular information, which implies an increase in image resolution to retain the level of spatial information gathered by conventional cameras. In this work, the resulting plenoptic image is interpreted as a multi-view sequence that is efficiently compressed using the multi-view extension of high efficiency video coding (MV-HEVC). A novel two-dimensional weighted prediction and rate allocation scheme is proposed to adopt the HEVC compression structure to the plenoptic image properties. The proposed coding approach is a response to ICIP 2017 Grand Challenge: Light field Image Coding. The proposed scheme outperforms all ICME-contestants, and improves on the JPEG-anchor of ICME with an average PSNR gain of 7.5 dB and the HEVC-anchor of ICIP 2017 Grand Challenge with an average PSNR gain of 2.4 dB. |
Year | Venue | Keywords |
|---|---|---|
2017 | 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | Light field, plenoptic, MV-HEVC |
Field | DocType | ISSN |
Spatial analysis,Computer vision,Compression (physics),Pattern recognition,Computer science,Image coding,Image properties,Light field,Coding (social sciences),Artificial intelligence,Image resolution | Conference | 1522-4880 |
Citations | PageRank | References |
4 | 0.40 | 1 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Waqas Ahmad | 1 | 7 | 2.84 |
| Roger Olsson | 2 | 61 | 7.41 |
| Mårten Sjöström | 3 | 174 | 19.69 |