dc.contributor.author |
Jayaweera, SS |
|
dc.contributor.author |
Edussooriya, CUS |
|
dc.contributor.author |
Wijenayake, C |
|
dc.contributor.author |
Agathoklis, P |
|
dc.contributor.author |
Bruton, LT |
|
dc.date.accessioned |
2023-05-09T02:51:49Z |
|
dc.date.available |
2023-05-09T02:51:49Z |
|
dc.date.issued |
2021 |
|
dc.identifier.citation |
Jayaweera, S. S., Edussooriya, C. U. S., Wijenayake, C., Agathoklis, P., & Bruton, L. T. (2021). Multi-Volumetric Refocusing of Light Fields. IEEE Signal Processing Letters, 28, 31–35. https://doi.org/10.1109/LSP.2020.3043990 |
en_US |
dc.identifier.issn |
1558-2361(Online) |
en_US |
dc.identifier.uri |
http://dl.lib.uom.lk/handle/123/21021 |
|
dc.description.abstract |
Geometric information of scenes available with fourdimensional
(4-D) light fields (LFs) paves the way for postcapture
refocusing. Light field refocusing methods proposed
so far have been limited to a single planar or a volumetric
region of a scene. In this paper, we demonstrate simultaneous
refocusing of multiple volumetric regions in LFs. To this end, we
employ a 4-D sparse finite-extent impulse response (FIR) filter
consisting of multiple hyperfan-shaped passbands. We design the
4-D sparse FIR filter as an optimal filter in the least-squares
sense. Experimental results confirm that the proposed filter
provides 63% average reduction in computational complexity
with negligible degradation in the fidelity of multi-volumetric
refocused LFs compared to a 4-D nonsparse FIR filter |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.subject |
Light fields |
en_US |
dc.subject |
volumetric refocusing |
en_US |
dc.subject |
multidimensional FIR filters |
en_US |
dc.subject |
sparse filters |
en_US |
dc.subject |
low complexity |
en_US |
dc.title |
Multi-Volumetric refocusing of light fields |
en_US |
dc.type |
Article-Full-text |
en_US |
dc.identifier.year |
2021 |
en_US |
dc.identifier.journal |
IEEE Signal Processing Letters |
en_US |
dc.identifier.volume |
28 |
en_US |
dc.identifier.database |
IEEE Xplore |
en_US |
dc.identifier.pgnos |
31 - 35 |
en_US |
dc.identifier.doi |
10.1109/LSP.2020.3043990 |
en_US |