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基于无线 MIMO 信道的整体成像三维图像传输。

Three-Dimensional Image Transmission of Integral Imaging through Wireless MIMO Channel.

机构信息

School of ICT, Robotics and Mechanical Engineering, Institute of Information and Telecommunication Convergence (IITC), Hankyong National University, 327 Chungang-ro, Anseong 17579, Kyonggi-do, Republic of Korea.

出版信息

Sensors (Basel). 2023 Jul 4;23(13):6154. doi: 10.3390/s23136154.

DOI:10.3390/s23136154
PMID:37448002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10346909/
Abstract

For the reconstruction of high-resolution 3D digital content in integral imaging, an efficient wireless 3D image transmission system is required to convey a large number of elemental images without a communication bottleneck. To support a high transmission rate, we herein propose a novel wireless three-dimensional (3D) image transmission and reception strategy based on the multiple-input multiple-output (MIMO) technique. By exploiting the spatial multiplexing capability, multiple elemental images are transmitted simultaneously through the wireless MIMO channel, and recovered with a linear receiver such as matched filter, zero forcing, or minimum mean squared error combiners. Using the recovered elemental images, a 3D image can be reconstructed using volumetric computational reconstruction (VCR) with non-uniform shifting pixels. Although the received elemental images are corrupted by the wireless channel and inter-stream interference, the averaging effect of the VCR can improve the visual quality of the reconstructed 3D images. The numerical results validate that the proposed system can achieve excellent 3D reconstruction performance in terms of the visual quality and peak sidelobe ratio though a large number of elemental images are transmitted simultaneously over the wireless MIMO channel.

摘要

为了在全景成像中重建高分辨率的 3D 数字内容,需要一种高效的无线 3D 图像传输系统,以便在无通信瓶颈的情况下传输大量的元图像。为了支持高传输速率,我们在此提出了一种基于多输入多输出(MIMO)技术的新型无线三维(3D)图像传输和接收策略。通过利用空间复用能力,多个元图像可以通过无线 MIMO 信道同时传输,并使用线性接收器(如匹配滤波器、迫零或最小均方误差组合器)进行恢复。使用恢复的元图像,可以使用非均匀移位像素的体积计算重建(VCR)来重建 3D 图像。尽管接收到的元图像受到无线信道和流间干扰的干扰,但 VCR 的平均效应可以提高重建的 3D 图像的视觉质量。数值结果验证了,尽管通过无线 MIMO 信道同时传输大量元图像,但所提出的系统能够在视觉质量和峰值旁瓣比方面实现出色的 3D 重建性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/d0140dde2a66/sensors-23-06154-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/d0140dde2a66/sensors-23-06154-g018.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/030da783720d/sensors-23-06154-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/fbcff0d746c5/sensors-23-06154-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/8f7a00d688b6/sensors-23-06154-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/f156c68c5cd1/sensors-23-06154-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/11bd48bb6d0f/sensors-23-06154-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/a98f842bd3c8/sensors-23-06154-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/1a78641e9a24/sensors-23-06154-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/47e153c00235/sensors-23-06154-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/ab93ea2078c5/sensors-23-06154-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/2d49d47b6f7d/sensors-23-06154-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/7063261e8fdd/sensors-23-06154-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e889/10346909/d0140dde2a66/sensors-23-06154-g018.jpg

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本文引用的文献

1
Three-Dimensional Integral Imaging with Enhanced Lateral and Longitudinal Resolutions Using Multiple Pickup Positions.采用多采集位置的增强横向和纵向分辨率的三维整体成像。
Sensors (Basel). 2022 Nov 26;22(23):9199. doi: 10.3390/s22239199.
2
Image Enhancement for Computational Integral Imaging Reconstruction via Four-Dimensional Image Structure.基于四维图像结构的计算积分成像重建图像增强
Sensors (Basel). 2020 Aug 25;20(17):4795. doi: 10.3390/s20174795.
3
3D passive photon counting automatic target recognition using advanced correlation filters.
基于高级相关滤波器的 3D 被动式光子计数自动目标识别
Opt Lett. 2011 Mar 15;36(6):861-3. doi: 10.1364/OL.36.000861.
4
Nonlinear joint power spectrum based optical correlation.基于非线性联合功率谱的光学相关
Appl Opt. 1989 Jun 15;28(12):2358-67. doi: 10.1364/AO.28.002358.
5
Robust distributed multiview video compression for wireless camera networks.用于无线摄像机网络的鲁棒分布式多视图视频压缩。
IEEE Trans Image Process. 2010 Apr;19(4):995-1008. doi: 10.1109/TIP.2009.2036715. Epub 2009 Nov 20.
6
Gradient-index lens-array method based on real-time integral photography for three-dimensional images.基于实时积分摄影的用于三维图像的梯度折射率透镜阵列方法。
Appl Opt. 1998 Apr 10;37(11):2034-45. doi: 10.1364/ao.37.002034.
7
Three-dimensional synthetic aperture integral imaging.三维合成孔径积分成像
Opt Lett. 2002 Jul 1;27(13):1144-6. doi: 10.1364/ol.27.001144.
8
Improved viewing resolution of three-dimensional integral imaging by use of nonstationary micro-optics.通过使用非平稳微光学提高三维积分成像的观看分辨率。
Opt Lett. 2002 Mar 1;27(5):324-6. doi: 10.1364/ol.27.000324.
9
Large depth-of-focus time-multiplexed three-dimensional integral imaging by use of lenslets with nonuniform focal lengths and aperture sizes.利用具有非均匀焦距和孔径尺寸的微透镜实现的大焦深时间复用三维积分成像。
Opt Lett. 2003 Oct 15;28(20):1924-6. doi: 10.1364/ol.28.001924.
10
Improvement of viewing angle in integral imaging by use of moving lenslet arrays with low fill factor.通过使用低填充因子的移动微透镜阵列改善集成成像中的视角。
Appl Opt. 2003 Apr 10;42(11):1996-2002. doi: 10.1364/ao.42.001996.