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Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression

SND-ID: 2024-199. Version: 1. DOI: https://doi.org/10.5878/y6d8-ss11

Citation

Creator/Principal investigator(s)

Waqas Ahmad - Mid Sweden University, Avdelningen för informationssystem och -teknologi orcid

Olsson Roger - Mid Sweden University, Avdelningen för informationssystem och -teknologi orcid

Mårten Sjöström - Mid Sweden University orcid

Research principal

Mid Sweden University rorId

Description

The paper is written in the response to ICIP 2017, Grand challenge on plenoptic image compression. The input image format and compression rates set out by the competition are followed to estimate the results.

Tables and figures.

The dataset was originally published in DiVA and moved to SND in 2024.

Data contains personal data

No

Language

Method and outcome

Data format / data structure

Data collection
Geographic coverage
Administrative information

Identifiers

Topic and keywords

Research area

Computer and information science (Standard för svensk indelning av forskningsämnen 2011)

Keywords

Plenoptic, Light field, Mv-hevc

Publications

Ahmad, W., Olsson, R., & Sjöström, M. (2017). Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression. In ICIP 2017 (pp. 4557–4561). https://doi.org/10.1109/ICIP.2017.8297145
DOI: https://doi.org/10.1109/ICIP.2017.8297145
URN: urn:nbn:se:miun:diva-31455
SwePub: oai:DiVA.org:miun-31455

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License

CC BY 4.0

Versions

Version 1. 2017-05-17

Version 1: 2017-05-17

DOI: https://doi.org/10.5878/y6d8-ss11

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Published: 2017-05-17
Last updated: 2025-01-31