Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement

Light field (LF) imaging captures both spatial and angular information, which is essential for applications such as depth estimation, view synthesis, and post-capture refocusing. However, the efficient processing of this data, particularly in terms of compression and encoding/decoding time, presents...

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Main Authors: Soheib Takhtardeshir, Roger Olsson, Christine Guillemot, Marten Sjostrom
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
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Online Access:https://ieeexplore.ieee.org/document/10849543/
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author Soheib Takhtardeshir
Roger Olsson
Christine Guillemot
Marten Sjostrom
author_facet Soheib Takhtardeshir
Roger Olsson
Christine Guillemot
Marten Sjostrom
author_sort Soheib Takhtardeshir
collection DOAJ
description Light field (LF) imaging captures both spatial and angular information, which is essential for applications such as depth estimation, view synthesis, and post-capture refocusing. However, the efficient processing of this data, particularly in terms of compression and encoding/decoding time, presents challenges. We propose a Variational Autoencoder (VAE)-based framework to disentangle the spatial and angular features of light field images, focusing on fast and efficient compression. Our method uses two separate sub-encoders—one for spatial and one for angular features—to allow for independent processing in the latent space, which facilitates more streamlined compression workflows. Evaluations on standard light field datasets demonstrate that our approach reduces encoding and decoding time significantly, with a slight trade-off in Rate-Distortion (RD) performance, making it suitable for real-time applications.
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issn 2169-3536
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spelling doaj-art-349dcd44d1c644f3ad1776393494131e2025-01-31T00:00:50ZengIEEEIEEE Access2169-35362025-01-0113185941860710.1109/ACCESS.2025.353260810849543Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular DisentanglementSoheib Takhtardeshir0https://orcid.org/0009-0008-5477-0920Roger Olsson1Christine Guillemot2https://orcid.org/0000-0003-1604-967XMarten Sjostrom3https://orcid.org/0000-0003-3751-6089Department of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, SwedenDepartment of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, SwedenINRIA, Rennes, FranceDepartment of Computer and Electrical Engineering, Mid Sweden University, Sundsvall, SwedenLight field (LF) imaging captures both spatial and angular information, which is essential for applications such as depth estimation, view synthesis, and post-capture refocusing. However, the efficient processing of this data, particularly in terms of compression and encoding/decoding time, presents challenges. We propose a Variational Autoencoder (VAE)-based framework to disentangle the spatial and angular features of light field images, focusing on fast and efficient compression. Our method uses two separate sub-encoders—one for spatial and one for angular features—to allow for independent processing in the latent space, which facilitates more streamlined compression workflows. Evaluations on standard light field datasets demonstrate that our approach reduces encoding and decoding time significantly, with a slight trade-off in Rate-Distortion (RD) performance, making it suitable for real-time applications.https://ieeexplore.ieee.org/document/10849543/Light fieldcompressiondisentanglingvariational auto-encoder
spellingShingle Soheib Takhtardeshir
Roger Olsson
Christine Guillemot
Marten Sjostrom
Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement
IEEE Access
Light field
compression
disentangling
variational auto-encoder
title Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement
title_full Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement
title_fullStr Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement
title_full_unstemmed Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement
title_short Efficient and Fast Light Field Compression via VAE-Based Spatial and Angular Disentanglement
title_sort efficient and fast light field compression via vae based spatial and angular disentanglement
topic Light field
compression
disentangling
variational auto-encoder
url https://ieeexplore.ieee.org/document/10849543/
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AT christineguillemot efficientandfastlightfieldcompressionviavaebasedspatialandangulardisentanglement
AT martensjostrom efficientandfastlightfieldcompressionviavaebasedspatialandangulardisentanglement