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A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation
Xiongkuo Min1,2; Jiantao Zhou1; Guangtao Zhai3; Patrick Le Callet4; Xiaokang Yang3; Xinping Guan4
2020-01-17
Source PublicationIEEE Transactions on Image Processing
ISSN1057-7149
Volume29Pages:3790-3804
Abstract

Owning to the recorded light ray distributions, light field contains much richer information and provides possibilities of some enlightening applications, and it has becoming more and more popular. To facilitate the relevant applications, many light field processing techniques have been proposed recently. These operations also bring the loss of visual quality, and thus there is need of a light field quality metric to quantify the visual quality loss. To reduce the processing complexity and resource consumption, light fields are generally sparsely sampled, compressed, and finally reconstructed and displayed to the users. We consider the distortions introduced in this typical light field processing chain, and propose a full-reference light field quality metric. Specifically, we measure the light field quality from three aspects: global spatial quality based on view structure matching, local spatial quality based on near-edge mean square error, and angular quality based on multi-view quality analysis. These three aspects have captured the most common distortions introduced in light field processing, including global distortions like blur and blocking, local geometric distortions like ghosting and stretching, and angular distortions like flickering and sampling. Experimental results show that the proposed method can estimate light field quality accurately, and it outperforms the state-of-the-art quality metrics which may be effective for light field.

KeywordAngular Quality Light Field Imaging Light Field Processing Quality Assessment Quality Metric Spatial Quality
DOI10.1109/TIP.2020.2966081
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000510750900068
Scopus ID2-s2.0-85079650111
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Cited Times [WOS]:41   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorGuangtao Zhai
Affiliation1.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau 999078, China
2.Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
3.Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
4.Polytech Nantes, Université de Nantes, 44306 Nantes, France
5.Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Xiongkuo Min,Jiantao Zhou,Guangtao Zhai,et al. A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation[J]. IEEE Transactions on Image Processing,2020,29:3790-3804.
APA Xiongkuo Min,Jiantao Zhou,Guangtao Zhai,Patrick Le Callet,Xiaokang Yang,&Xinping Guan.(2020).A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation.IEEE Transactions on Image Processing,29,3790-3804.
MLA Xiongkuo Min,et al."A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation".IEEE Transactions on Image Processing 29(2020):3790-3804.
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