Beitrag zur Unterwasserbildrestauration
Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradati...
Tallennettuna:
| Päätekijä: | |
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| Aineistotyyppi: | Online |
| Kieli: | saksa |
| Julkaistu: |
KIT Scientific Publishing
2021
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| Aiheet: | |
| Linkit: | 34961 |
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| _version_ | 1869530385341218816 |
|---|---|
| author | Stephan, Thomas |
| author_browse | Stephan, Thomas |
| author_facet | Stephan, Thomas |
| author_sort | Stephan, Thomas |
| collection | Directory of Open Access Books |
| description | Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions. |
| format | Online |
| id | doab-20.500.12854ir-41925 |
| institution | Directory of Open Access Books |
| language | ger |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-419252023-12-20T18:40:52Z Beitrag zur Unterwasserbildrestauration Stephan, Thomas QA75.5-76.95 data retrieval image enhancement modeling image restoration Unterwasser signal processing Modelierung Bildverbesserung Bildrestauration Signalverarbeitung Bildgewinnung bic Book Industry Communication::U Computing & information technology::UY Computer science Underwater images are most often degraded by color shifts, blurring and brightening effects. The presented approach is based on a problem-specific physical model of under water image formation. Thereon, methods of image restoration and image data retrieval are presented, which invert image degradation processes. Hence, it is possible to enhance image quality with model knowledge under different image acquisition conditions. 2021-02-11T08:55:55Z 2021-02-11T08:55:55Z 2019-07-30 20:01:59 2017 book 34961 18665934 9783731505792 https://directory.doabooks.org/handle/20.500.12854/41925 ger Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731505792 KIT Scientific Publishing 10.5445/KSP/1000058567 10.5445/KSP/1000058567 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731505792 XX, 210 p. open access |
| spellingShingle | QA75.5-76.95 data retrieval image enhancement modeling image restoration Unterwasser signal processing Modelierung Bildverbesserung Bildrestauration Signalverarbeitung Bildgewinnung bic Book Industry Communication::U Computing & information technology::UY Computer science Stephan, Thomas Beitrag zur Unterwasserbildrestauration |
| title | Beitrag zur Unterwasserbildrestauration |
| title_full | Beitrag zur Unterwasserbildrestauration |
| title_fullStr | Beitrag zur Unterwasserbildrestauration |
| title_full_unstemmed | Beitrag zur Unterwasserbildrestauration |
| title_short | Beitrag zur Unterwasserbildrestauration |
| title_sort | beitrag zur unterwasserbildrestauration |
| topic | QA75.5-76.95 data retrieval image enhancement modeling image restoration Unterwasser signal processing Modelierung Bildverbesserung Bildrestauration Signalverarbeitung Bildgewinnung bic Book Industry Communication::U Computing & information technology::UY Computer science |
| topic_facet | QA75.5-76.95 data retrieval image enhancement modeling image restoration Unterwasser signal processing Modelierung Bildverbesserung Bildrestauration Signalverarbeitung Bildgewinnung bic Book Industry Communication::U Computing & information technology::UY Computer science |
| url | 34961 |
| work_keys_str_mv | AT stephanthomas beitragzurunterwasserbildrestauration |