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TOWARDS A GENERIC COMPRESSION SOLUTION FOR DENSELY AND SPARSELY SAMPLED LIGHT FIELD DATA
- Citation Author(s):
- Submitted by:
- Waqas Ahmad
- Last updated:
- 8 October 2018 - 12:39am
- Document Type:
- Presentation Slides
- Document Year:
- 2018
- Event:
- Presenters:
- Waqas Ahmad
- Paper Code:
- 2087
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Light field acquisition technologies capture spatial and angular information of the scene. The angular information paves
the way for various post-processing applications, e.g. scene reconstruction, refocusing, synthetic aperture. The light field
is usually captured by a single plenoptic camera or by multiple traditional cameras. The former captures dense light
field, and latter provides a sparse light field. In this paper, we present a generic compression scheme that efficiently compresses densely and sparsely sampled light fields. On one hand, the plenoptic image is converted into sub-aperture images and each sub-aperture image is interpreted as a frame of multi-view sequence. On the other hand, each view of the multi-camera system is treated as a frame of multi-view sequence. The Multi-view extension of High Efficiency Video Coding (MV-HEVC) is used to encode the pseudo multi-view sequence. An adaptive prediction and rate allocation scheme is proposed that efficiently compresses the light field data irrespective of acquisition technology.