Toward neural light-field compression

Yuya Ishikawa; Chihiro Tsutake; Keita Takahashi; Toshiaki Fujii

doi:10.1117/12.3018716

2 May 2024 Toward neural light-field compression

Yuya Ishikawa, Chihiro Tsutake, Keita Takahashi, Toshiaki Fujii

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 131641Z (2024) https://doi.org/10.1117/12.3018716
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

We propose a data compression method for a light field using a compact and computationally efficient neural representation. We first train a neural network with learnable parameters to reproduce the target light field. We then compress the set of learned parameters as an alternative representation of the light field. Our method is significantly different in concept from the traditional approaches where a light field is encoded as a set of images or a video (as a pseudo-temporal sequence) using off-the-shelf image/video codecs. We experimentally show that our method achieves a promising rate-distortion performance.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yuya Ishikawa, Chihiro Tsutake, Keita Takahashi, and Toshiaki Fujii "Toward neural light-field compression", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 131641Z (2 May 2024); https://doi.org/10.1117/12.3018716

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