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TOWARDS A GENERIC COMPRESSION SOLUTION FOR DENSELY AND SPARSELY SAMPLED LIGHT FIELD DATA

Citation Author(s):
Roger Olsson, Mårten Sjöström
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
 

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.

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