Data · dataset · 2020
Data for: SISRSet: Single Image Super-Resolution Subjective Evaluation Test and Objective Quality Assessment
Listed in Teesside University Research Data Repository
This SISRSet database is established for single image super-resolution quality assessment study.
Description
For the subjective evaluation tests, there are 15 pictures chosen from Set5, Set14 and BSD100 as the ground-truth images. The corresponding LR images are obtained by Bicubic method with downscaling factors of 2, 3 and 4.
There are 360 SR images generated by 8 SR algorithms with three scaling factors in total. The 8 SR algorithms include the traditional methods: Bicubic, A+, ANR, SelfExSR and the deep learning based SR methods: CSCN, SRCNN, DRCN, VDSR. We chosed the pairwise comparison method to conduct the subjective evaluation test.
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There are 16 participants without knowledge of the ground-truth and SR images. The setting of the viewing environment and the test condition follow the ITU-R BT.500-11 standard. All original images and the SR images are in the file package.
Their MOS values and deviation are also included. The codes of several IQA metrics are introduced in the file. Meanwhile, some experimental results are shown in the file.
Links
Where it is published
- DOI doi.org/10.17632/dsnppntnp6.1 ↗
DOI / persistent id · from researchdata tees ac uk
Catalogue records · 1
- OAI-PMH record data.mendeley.com/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Adata… ↗
metadata API · from researchdata tees ac uk
Topics
- From keywords
- Computer Science & AI · Computer vision · Earth & Environmental Science
- Inferred from text
- Image 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Teesside University Research Data Repository | oai:data.mendeley.com/dsnppntnp6.1 | 13 h ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:460304 | mapping · researchdata tees ac uk | vocabulary-mapper@1.0.0 | keywords['Computer Vision'] |
| concepts[field].local:field:computer-science-ai | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · researchdata tees ac uk | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/description |
| license_text | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| publication_date | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | |
| title | source · researchdata tees ac uk | connector:researchdata_tees_ac_uk@1.0.0 | /metadata/dc/title |