Tri-visualization feature extraction for light field angular super-resolution

Abstract Light field angular super-resolution (LFASR) aims to reconstruct densely sampled angular views from sparsely captured inputs, enabling high-fidelity rendering, refocusing, and depth estimation. In this paper, we propose a novel LFASR framework that employs a tri-visualization feature extrac...

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Bibliografske podrobnosti

Principais autores:	Ebrahem Elkady, Ahmed Salem, Hyun-Soo Kang, Jae-Won Suh
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2025-09-01
Serija:	Scientific Reports
Teme:	Light field reconstruction View synthesis Angular super-resolution Convolution neural network
Online dostop:	https://doi.org/10.1038/s41598-025-21108-0
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