Image quality assessment: Learning to rank image distortion level
| dc.contributor.author | Faigenbaum-Golovin, Shira | |
| dc.contributor.author | Shimshi, Or | |
| dc.date.accessioned | 2023-08-03T13:24:37Z | |
| dc.date.available | 2023-08-03T13:24:37Z | |
| dc.date.updated | 2023-08-03T13:24:37Z | |
| dc.identifier.issn | 2470-1173 | |
| dc.identifier.uri | ||
| dc.publisher | Society for Imaging Science & Technology | |
| dc.relation.ispartof | Electronic Imaging | |
| dc.relation.isversionof | 10.2352/ei.2022.34.9.iqsp-386 | |
| dc.title | Image quality assessment: Learning to rank image distortion level | |
| dc.type | Journal article | |
| duke.contributor.orcid | Faigenbaum-Golovin, Shira|0000-0003-0320-9726 | |
| pubs.issue | 9 | |
| pubs.organisational-group | Duke | |
| pubs.organisational-group | Trinity College of Arts & Sciences | |
| pubs.organisational-group | Mathematics | |
| pubs.publication-status | Published online | |
| pubs.volume | 34 |
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