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...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- ger
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/17602
- Acceso en línea:
- https://directory.doabooks.org/handle/20.500.12854/41925
http://hdl.handle.net/20.500.12010/17602
- Palabra clave:
- Data retrieval
Image enhancement
Modeling
Imágenes digitales
Imágenes tridimensionales
Ingeniería industrial
- Rights
- License
- Abierto (Texto Completo)
| Summary: | 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. |
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