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Computationally Efficient Light Field Image Compression using a Multiview HEVC Framework
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information Systems and Technology.
2019 (English)Data set, Aggregated data
Physical description [en]

This software package describes the Light Field (LF) Coding Framework proposed by Ahmad et al. in published paper, "Computationally efficient light field image compression using a multiview HEVC framework", IEEE Access  September 2019. The coding framework reads the input LF image, generates multiview sequences, encodes the generated sequences using MVHEVC encoder and finally produces the decoded Mat files. The Mat files contain decoded LF structure, PSNR information and size (in bytes) of the compressed LF image. The detail information of the proposed coding framework is explained in the user manual which is placed inside the MIUN_LFCF Folder. The continuous development of proposed coding framework can be followed on Github project (link provided under other links heading).

Place, publisher, year
2019.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-41705OAI: oai:DiVA.org:miun-41705DiVA, id: diva2:1538490
Available from: 2021-03-19 Created: 2021-03-19 Last updated: 2021-03-19

Open Access in DiVA

dataset(4884 kB)482 downloads
File information
File name DATASET01.zipFile size 4884 kBChecksum SHA-512
70f5f2369d1edaeaf127db43f90a38421aa116f17c0bf0f8cec8a4ec2e18081791f4fc6aaf084968fbbb1ee020d2a5464f02833c27e45a757ac0e6b56cf23b8a
Type datasetMimetype application/zip

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Link to Github project web page

Authority records

Ahmad, Waqas

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Department of Information Systems and Technology
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf