A Novel Light Field Image Compression Method Using EPI Restoration Neural Network.
Different from traditional images, light field images record not only spatial information but also angle information. Due to the large volume of light field data brings great difficulties to storage and compression, light field compression technology has attracted much attention. The epipolar plane...
| Publicado en: | BioMed Research International pp. 1 - 9 |
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| Autores principales: | , , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/13/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=157408989&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 157408989 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/13/2022 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 157408989 157408989 157408989 10.1155/2022/8324438 157408989 ppf: 1 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A Novel Light Field Image Compression Method Using EPI Restoration Neural Network. aug: au: Liu, Jinghuai Zhang, Qian Shen, Ang Gao, Ying Hou, Jiaqi Wang, Bin Yan, Tao affil: College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai 200234, China sug: subj: Light Neural Networks (Computer) Photography Quantitative Studies Comparative Studies Algorithms Image Processing, Computer Assisted Qualitative Studies ab: Different from traditional images, light field images record not only spatial information but also angle information. Due to the large volume of light field data brings great difficulties to storage and compression, light field compression technology has attracted much attention. The epipolar plane image (EPI) contains a lot of low rank information, which is suitable for recovering the complete EPI from a part of EPI. In this paper, a light field image coding framework based on EPI restoration neural network has been proposed. Compared with previous algorithms, the proposed algorithm further takes advantage of the inherent similarity in light field images, and the proposed framework has higher performance and robustness. Experimental results show that the proposed method has superior performance compared to the state-of-the-art both in quantitatively and qualitatively. pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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