000230995 001__ 230995
000230995 005__ 20190331140537.0
000230995 0247_ $$2doi$$a10.1109/JSTSP.2017.2740167
000230995 022__ $$a1932-4553
000230995 02470 $$2ISI$$a000413944400014
000230995 037__ $$aARTICLE
000230995 245__ $$aComparison and evaluation of light field image coding approaches
000230995 260__ $$bIeee-Inst Electrical Electronics Engineers Inc$$c2017$$aPiscataway
000230995 269__ $$a2017
000230995 300__ $$a15
000230995 336__ $$aJournal Articles
000230995 520__ $$aThe recent advances in light field imaging, supported among others by the introduction of commercially available cameras e.g. Lytro or Raytrix, are changing the ways in which visual content is captured and processed. Efficient storage and delivery systems for light field images must rely on compression algorithms. Several methods to compress light field images have been proposed recently. However, in-depth evaluations of compression algorithms have rarely been reported. This paper aims at evaluation of perceived visual quality of light field images and at comparing the performance of a few state of the art algorithms for light field image compression. First, a processing chain for light field image compression and decompression is defined for two typical use cases, professional and consumer. Then, five light field compression algorithms are compared by means of a set of objective and subjective quality assessments. An interactive methodology recently introduced by authors, as well as a passive methodology is used to perform these evaluations. The results provide a useful benchmark for future development of compression solutions for light field images.
000230995 6531_ $$aLight field
000230995 6531_ $$aSubjective quality evaluation
000230995 6531_ $$aObjective quality evaluation
000230995 6531_ $$aimage coding
000230995 6531_ $$aimage compression
000230995 700__ $$0249547$$g249303$$aViola, Irene
000230995 700__ $$0244457$$g206402$$aRerabek, Martin
000230995 700__ $$0240223$$g105043$$aEbrahimi, Touradj
000230995 773__ $$j11$$tIEEE Journal of Selected Topics in Signal Processing$$k7$$q1092-1106
000230995 8564_ $$uhttps://infoscience.epfl.ch/record/230995/files/FINALVERSION.pdf$$zPostprint$$s3519574$$yPostprint
000230995 909C0 $$0252077$$pMMSPL
000230995 909CO $$particle$$ooai:infoscience.tind.io:230995$$qGLOBAL_SET$$pSTI
000230995 917Z8 $$x249303
000230995 937__ $$aEPFL-ARTICLE-230995
000230995 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000230995 980__ $$aARTICLE