A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net
Saved in:
| Main Author: | |
|---|---|
| Format: | masterThesis |
| Published: |
2020
|
| Subjects: | |
| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/143618/1/Yasmin_Yasin_Master_Thesis_202214360_Final.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1864513399490084864 |
|---|---|
| author | unknown |
| author_facet | unknown |
| author_role | author |
| dc.creator.*.fl_str_mv | unknown |
| dc.date.*.fl_str_mv | 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/143618/1/Yasmin_Yasin_Master_Thesis_202214360_Final.pdf A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net. Masters thesis, King Fahd University of Petroleum and Minerals. |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/143618/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer Research |
| dc.title.none.fl_str_mv | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net |
| dc.type.none.fl_str_mv | Thesis NonPeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | KFUPM_efc04f10bb4ab55d686b1539140a2855 |
| identifier_str_mv | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net. Masters thesis, King Fahd University of Petroleum and Minerals. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::143618 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-NetComputerResearchThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/143618/1/Yasmin_Yasin_Master_Thesis_202214360_Final.pdf A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/143618/2020info:eu-repo/semantics/openAccessunknownoai::1436182025-07-22T07:07:19Z |
| spellingShingle | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net unknown Computer Research |
| status_str | publishedVersion |
| title | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net |
| title_full | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net |
| title_fullStr | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net |
| title_full_unstemmed | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net |
| title_short | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net |
| title_sort | A Unified Framework for Unsupervised Backlight and Low-light Image Enhancement via CLIP-Guided Prompt Learning and Symmetric Residual U-Net |
| topic | Computer Research |
| url | https://eprints.kfupm.edu.sa/id/eprint/143618/1/Yasmin_Yasin_Master_Thesis_202214360_Final.pdf |