Lost in light field compression: Understanding the unseen pitfalls in computer vision

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00382677" target="_blank" >RIV/68407700:21230/25:00382677 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1016/j.image.2025.117304" target="_blank" >https://doi.org/10.1016/j.image.2025.117304</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.image.2025.117304" target="_blank" >10.1016/j.image.2025.117304</a>

Result language

angličtina

Original language name

Lost in light field compression: Understanding the unseen pitfalls in computer vision

Original language description

Could we be overlooking a fundamental aspect of light fields in our quest for efficient compression? The vast amount of data enclosed in a light field makes compression a necessity. Yet, from an application point of view, the focus is predominantly on visual consumption while light fields have properties that can potentially be used in various other tasks. This paper examines the impact of light field compression on the performance of subsequent computer vision tasks. We investigate the variations in quality across perspectives and their impact on face recognition systems and disparity estimation. By leveraging a diverse dataset of light field images, we thoroughly evaluate the performance of various face recognition algorithms when subjected to different conventional and learning-based compression techniques, such as JPEG Pleno, ALVC, and SADNQVRF. Our findings reveal a noticeable decline in peak recognition performance as compression levels increase, given specific recognition frameworks. Furthermore, we identify a significant shift in the recognition threshold, particularly in response to higher degrees of compression. Secondly, by relying on a novel disparity estimation algorithm, we explore the loss of information across light field perspectives. Our results highlight a disconnect between the preservation of visual fidelity and the loss of minute detail crucial for the preservation of disparity information in light field images. The findings presented herein aim to contribute to the development of efficient compression strategies while emphasizing the delicate balance between compression efficiency, subjective quality, and feature preservation with the aim of increased accuracy in specialized light field systems.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20201 - Electrical and electronic engineering

Project

<a href="/en/project/LTT20004" target="_blank" >LTT20004: Cooperation with International Research Centre in Area of Digital Communication Systems</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Signal Processing: Image Communication

ISSN

0923-5965

e-ISSN

1879-2677

Volume of the periodical

136

Issue of the periodical within the volume

August

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

17

Pages from-to

1-17

UT code for WoS article

001448098900001

EID of the result in the Scopus database

2-s2.0-86000597212