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Spatial-Angular Interaction for Light Field Image Super-Resolution

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Computer Vision – ECCV 2020 (ECCV 2020)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 12368))

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Abstract

Light field (LF) cameras record both intensity and directions of light rays, and capture scenes from a number of viewpoints. Both information within each perspective (i.e., spatial information) and among different perspectives (i.e., angular information) is beneficial to image super-resolution (SR). In this paper, we propose a spatial-angular interactive network (namely, LF-InterNet) for LF image SR. Specifically, spatial and angular features are first separately extracted from input LFs, and then repetitively interacted to progressively incorporate spatial and angular information. Finally, the interacted features are fused to super-resolve each sub-aperture image. Experimental results demonstrate the superiority of LF-InterNet over the state-of-the-art methods, i.e., our method can achieve high PSNR and SSIM scores with low computational cost, and recover faithful details in the reconstructed images.

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Acknowledgement

This work was supported by the National Natural Science Foundation of China (No. 61972435, 61602499).

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Authors and Affiliations

  1. National University of Defense Technology, Changsha, China

    Yingqian Wang, Longguang Wang, Jungang Yang, Wei An & Yulan Guo

  2. ShanghaiTech University, Shanghai, China

    Jingyi Yu

  3. Sun Yat-sen University, Guangzhou, China

    Yulan Guo

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  1. Yingqian Wang
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  2. Longguang Wang
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  3. Jungang Yang
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  4. Wei An
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  5. Jingyi Yu
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  6. Yulan Guo
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Corresponding author

Correspondence to Jungang Yang .

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Editors and Affiliations

  1. University of Oxford, Oxford, UK

    Andrea Vedaldi

  2. Graz University of Technology, Graz, Austria

    Horst Bischof

  3. University of Freiburg, Freiburg im Breisgau, Germany

    Thomas Brox

  4. University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

    Jan-Michael Frahm

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Wang, Y., Wang, L., Yang, J., An, W., Yu, J., Guo, Y. (2020). Spatial-Angular Interaction for Light Field Image Super-Resolution. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, JM. (eds) Computer Vision – ECCV 2020. ECCV 2020. Lecture Notes in Computer Science(), vol 12368. Springer, Cham. https://doi.org/10.1007/978-3-030-58592-1_18

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