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A Semantic Communication Scheme for Distributed Holographic-Type Communications With Multi-View Images

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Holographic-type communication (HTC) is emerging as an important application scenario for the next-generation communication systems. In particular, to provide immersive user experiences, HTC requires to implement 3D visual reconstruction of a physical object by collecting multi-view images from multiple viewpoints. However, it is a dilemma to balance the efficiency and the visual quality of this distributed HTC scenario. To tackle this problem, a distributed multi-view image semantic communication (DMISC) scheme is proposed in this letter. First, a framework consisting of multiple individual semantic encoders and a joint multi-view semantic decoder is proposed to achieve high-quality image recovery by leveraging the correlations among multi-views. Second, a convolutional neural network-based DMISC model is designed to achieve high communication efficiency and visual quality for 3D reconstruction, by combining joint source-channel coding with joint multi-view decoding. Finally, the simulation results are presented to show that our proposed DMISC scheme can achieve better performance than those existing schemes.

Three-dimensional displaysDecodingImage reconstructionSemantic communicationVisualizationWireless communicationVectorsRendering (computer graphics)Neural radiance fieldImage coding

Yuechun Fu、Zhongyuan Zhao、Ji Yan、Tony Q. S. Quek

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State Key Laboratory of Networking and Switching Technology and the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China

Department of Information Systems Technology and Design, Singapore University of Technology and Design, Tampines, Singapore

2025

IEEE communications letters

IEEE communications letters

ISSN:
年,卷(期):2025.29(5)
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