Towards a generic compression solution for densely and sparsely sampled light field data
2018 (English)In: Proceedings of 25TH IEEE International Conference On Image Processing, 2018, p. 654-658, article id 8451051Conference paper, Published paper (Refereed)
Abstract [en]
Light field (LF) acquisition technologies capture the spatial and angular information present in scenes. The angular information paves the way for various post-processing applications such as scene reconstruction, refocusing, and synthetic aperture. The light field is usually captured by a single plenoptic camera or by multiple traditional cameras. The former captures a dense LF, while the latter captures a sparse LF. This paper presents a generic compression scheme that efficiently compresses both densely and sparsely sampled LFs. A plenoptic image is converted into sub-aperture images, and each sub-aperture image is interpreted as a frame of a multiview sequence. In comparison, each view of the multi-camera system is treated as a frame of a multi-view sequence. The multi-view extension of high efficiency video coding (MVHEVC) is used to encode the pseudo multi-view sequence.This paper proposes an adaptive prediction and rate allocation scheme that efficiently compresses LF data irrespective of the acquisition technology used.
Place, publisher, year, edition, pages
2018. p. 654-658, article id 8451051
Keywords [en]
Light field, plenoptic, Multi-camera, MVHEVC
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-34283DOI: 10.1109/ICIP.2018.8451051ISI: 000455181500132Scopus ID: 2-s2.0-85062918597ISBN: 978-1-4799-7061-2 (print)OAI: oai:DiVA.org:miun-34283DiVA, id: diva2:1240218
Conference
25TH IEEE International Conference On Image Processing (ICIP), Athens, Greece, October 7-10, 2018
Funder
EU, Horizon 20202018-08-202018-08-202019-03-25