Subjective Evaluation of Light Field Image Compression Methods based on View Synthesis. Bakir, N., Fezza, S. A., Hamidouche, W., Samrouth, K., & Déforges, O. In 2019 27th European Signal Processing Conference (EUSIPCO), pages 1-5, Sep., 2019.
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Paper doi abstract bibtex
Paper doi abstract bibtex Light field (LF) images provide rich visual information enabling amazing applications, from post-capture image processing to immersive applications. However, this rich information requires significant storage and bandwidth capabilities thus urgently raises the question of their compression. Many studies have investigated the compression of LF images using both spatial and angular redundancies existing in the LF images. Recently, interesting LF compression approaches based on view synthesis technique have been proposed. In these approaches, only sparse samples of LF views are encoded and transmitted, while the other views are synthesized at decoder side. Different techniques have been proposed to synthesize the dropped views. In this paper, we describe subjective quality evaluation of two recent compression methods based on view synthesis and comparing them to two pseudo-video sequence based coding approaches. Results show that view synthesis based approaches provide higher visual quality than the naive LF coding approaches. In addition, the database as well as subjective scores are publicly available to help designing new objective metrics or can be used as a benchmark for future development of LF coding methods.
@InProceedings{8902614,
author = {N. Bakir and S. A. Fezza and W. Hamidouche and K. Samrouth and O. Déforges},
booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
title = {Subjective Evaluation of Light Field Image Compression Methods based on View Synthesis},
year = {2019},
pages = {1-5},
abstract = {Light field (LF) images provide rich visual information enabling amazing applications, from post-capture image processing to immersive applications. However, this rich information requires significant storage and bandwidth capabilities thus urgently raises the question of their compression. Many studies have investigated the compression of LF images using both spatial and angular redundancies existing in the LF images. Recently, interesting LF compression approaches based on view synthesis technique have been proposed. In these approaches, only sparse samples of LF views are encoded and transmitted, while the other views are synthesized at decoder side. Different techniques have been proposed to synthesize the dropped views. In this paper, we describe subjective quality evaluation of two recent compression methods based on view synthesis and comparing them to two pseudo-video sequence based coding approaches. Results show that view synthesis based approaches provide higher visual quality than the naive LF coding approaches. In addition, the database as well as subjective scores are publicly available to help designing new objective metrics or can be used as a benchmark for future development of LF coding methods.},
keywords = {data compression;image coding;image sequences;dropped views;subjective quality evaluation;compression methods;pseudovideo sequence based coding approaches;view synthesis based approaches;visual quality;subjective scores;LF coding methods;light field image compression methods;visual information;post-capture image processing;immersive applications;bandwidth capabilities;LF images;spatial redundancies;angular redundancies;view synthesis technique;LF views;LF compression approaches;Image coding;Encoding;Visualization;Decoding;Standards;Image color analysis;Europe;Light field;Image compression;View synthesis;Subjective evaluation;CNN;Linear approximation},
doi = {10.23919/EUSIPCO.2019.8902614},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533939.pdf},
}Downloads: 0
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