Change search
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
Efficient Intra Prediction Scheme For Light Field Image Compression
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)ORCID iD: 0000-0003-3751-6089
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems. (Realistic3D)
2014 (English)In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, IEEE conference proceedings, 2014, Art. no. 6853654- p.Conference paper, Published paper (Refereed)
Abstract [en]

Interactive photo-realistic graphics can be rendered by using light field datasets. One way of capturing the dataset is by using light field cameras with microlens arrays. The captured images contain repetitive patterns resulted from adjacent mi-crolenses. These images don't resemble the appearance of a natural scene. This dissimilarity leads to problems in light field image compression by using traditional image and video encoders, which are optimized for natural images and video sequences. In this paper, we introduce the full inter-prediction scheme in HEVC into intra-prediction for the compression of light field images. The proposed scheme is capable of performing both unidirectional and bi-directional prediction within an image. The evaluation results show that above 3 dB quality improvements or above 50 percent bit-rate saving can be achieved in terms of BD-PSNR for the proposed scheme compared to the original HEVC intra-prediction for light field images.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2014. Art. no. 6853654- p.
Keyword [en]
Compression, HEVC, Light Field, Microlens array
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:miun:diva-21618DOI: 10.1109/ICASSP.2014.6853654ISI: 000343655300109Scopus ID: 2-s2.0-84905255726Local ID: STCOAI: oai:DiVA.org:miun-21618DiVA: diva2:706815
Conference
2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014; Florence; Italy; 4 May 2014 through 9 May 2014; Category numberCFP14ICA-USB; Code 1066322014
Available from: 2014-03-21 Created: 2014-03-21 Last updated: 2017-08-22Bibliographically approved

Open Access in DiVA

fulltext(380 kB)265 downloads
File information
File name FULLTEXT01.pdfFile size 380 kBChecksum SHA-512
70da80130c3578617225a8f8e94d90b45f6274d5d6a87fec7b791244ef445b746541275603732983c342da984c0191642fbb9bed5f913467d477fc1496dbe32a
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Li, YunSjöström, MårtenOlsson, RogerJennehag, Ulf
By organisation
Department of Information and Communication systems
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 265 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 4935 hits
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