Comparison and Evaluation of Light Field Image Coding Approaches

The 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 compre...

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Vydáno v:IEEE journal of selected topics in signal processing Ročník 11; číslo 7; s. 1092 - 1106
Hlavní autoři: Viola, Irene, Rerabek, Martin, Ebrahimi, Touradj
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.10.2017
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Chlorophyll
Compression algorithms
Compression tests
Data visualization
Hydrography
Image coding
Image compression
Image quality
Light
light field
Light fields
objective quality evaluation
Quality assessment
subjective quality evaluation
Visual fields
Visual perception
Visualization
ISSN:1932-4553, 1941-0484
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Popis
Shrnutí:The 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 the 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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1932-4553
1941-0484
DOI:10.1109/JSTSP.2017.2740167