Real-Time Light Field Signal Processing Using 4D/5D Linear Digital Filter FPGA Circuits

被引：8

作者：

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

Wijenayake, C. ^{[2
]}

Madanayake, A. ^{[3
]}

Liyanage, N. ^{[4
]}

Premaratne, S. ^{[5
]}

Vorhies, J. T. ^{[6
]}

Dansereau, D. G. ^{[7
]}

Agathoklis, P. ^{[5
]}

Bruton, L. T. ^{[8
]}

机构：

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

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

[3] Florida Int Univ, Dept Elect & Comp Engn, Miami, FL 33199 USA

[4] Univ New South Wales, Sch Elect Engn & Telecommun, Sydney, NSW 2052, Australia

[5] Univ Victoria, Dept Elect & Comp Engn, Victoria, BC V8P 5C2, Canada

[6] Univ Akron, Dept Elect & Comp Engn, Akron, OH 44325 USA

[7] Univ Sydney, Sydney Inst Robot & Intelligent Syst, Camperdown, NSW 2006, Australia

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

来源：

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | 2021年 / 68卷 / 07期

关键词：

Real-time systems; Finite impulse response filters; Light fields; Field programmable gate arrays; Videos; Manganese; Signal processing algorithms; light field videos; multi-dimensional filters; real-time processing; FPGA; MOVING-OBJECTS; DEPTH; DESIGN; ENHANCEMENT; IMAGES; BANK;

D O I：

10.1109/TCSII.2021.3057388

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：

Light fields (LFs) and light field videos (LFVs) capture both angular and spatial variation of light rays emanating from scenes. This richness of information leads to novel applications such as post-capture refocusing, depth estimation and depth-velocity filtering which are not possible with images and videos. These capabilities come, however, with a significant increase in data to be processed. In order to fully exploit opportunities provided by LFs and LFVs, low-complexity signal processing algorithms that process LF and LFV data in real-time are required. In this brief, we survey such state-of-the-art algorithms, in particular for depth filtering, refocusing and denoising of LFs and depth-velcoty filtering for LFVs, and future directions for these real-time LF an LFV processing algorithms.

引用

页码：2735 / 2741

页数：7

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