Multi-Volumetric Refocusing of Light Fields

被引：36

作者：

Jayaweera, Sakila S. ^{[1
]}

Edussooriya, Chamira U. S. ^{[1
]}

Wijenayake, Chamith ^{[2
]}

Agathoklis, Panajotis ^{[3
]}

Bruton, Len T. ^{[4
]}

机构：

[1] Univ Moratuwa, Dept Elect & Telecommun Engn, Moratuwa 10400, Sri Lanka

[2] Univ Queensland, Sch Informat Technol & Elect Engn, Brisbane, Qld 4072, Australia

[3] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC V8W 2Y2, Canada

[4] Univ Calgary, Dept Elect & Comp Engn, Calgary, AB T2N 1N4, Canada

来源：

IEEE SIGNAL PROCESSING LETTERS | 2021年 / 28卷

关键词：

Light fields; low complexity; multi-dimensional FIR filters; sparse filters; volumetric refocusing; IMAGE QUALITY ASSESSMENT;

D O I：

10.1109/LSP.2020.3043990

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Geometric information of scenes available with four-dimensional (4-D) light fields (LFs) paves the way for post-capture refocusing. Light field refocusing methods proposed so far have been limited to a single planar or a volumetric region of a scene. In this letter, 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.

引用

页码：31 / 35

页数：5

共 39 条

[1]

[Anonymous], SOCIOBIOLOGY

[2]

Chai JX, 2000, COMP GRAPH, P307, DOI 10.1145/344779.344932

[3] Accurate Light Field Depth Estimation With Superpixel Regularization Over Partially Occluded Regions [J].