3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution

• URL: http://arxiv.org/abs/2201.01294v1
• Date: Tue, 4 Jan 2022 18:57:00 GMT
• Title: 3DVSR: 3D EPI Volume-based Approach for Angular and Spatial Light field Image Super-resolution
• Authors: Trung-Hieu Tran, Jan Berberich, Sven Simon
• Abstract summary: This paper presents a learning-based approach applied to 3D epipolar image (EPI) to reconstruct high-resolution light field. An extensive evaluation on 90 challenging synthetic and real-world light field scenes from 7 published datasets shows that the proposed approach outperforms state-of-the-art methods.
• Score: 2.127049691404299
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: Light field (LF) imaging, which captures both spatial and angular information of a scene, is undoubtedly beneficial to numerous applications. Although various techniques have been proposed for LF acquisition, achieving both angularly and spatially high-resolution LF remains a technology challenge. In this paper, a learning-based approach applied to 3D epipolar image (EPI) is proposed to reconstruct high-resolution LF. Through a 2-stage super-resolution framework, the proposed approach effectively addresses various LF super-resolution (SR) problems, i.e., spatial SR, angular SR, and angular-spatial SR. While the first stage provides flexible options to up-sample EPI volume to the desired resolution, the second stage, which consists of a novel EPI volume-based refinement network (EVRN), substantially enhances the quality of the high-resolution EPI volume. An extensive evaluation on 90 challenging synthetic and real-world light field scenes from 7 published datasets shows that the proposed approach outperforms state-of-the-art methods to a large extend for both spatial and angular super-resolution problem, i.e., an average peak signal to noise ratio improvement of more than 2.0 dB, 1.4 dB, and 3.14 dB in spatial SR $\times 2$, spatial SR $\times 4$, and angular SR respectively. The reconstructed 4D light field demonstrates a balanced performance distribution across all perspective images and presents superior visual quality compared to the previous works.

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