LRemoving Dust Artifacts in Retinal Images via Dictionary Learning and Sparse-Based Inpainting
In the field of ophthalmology, retinal images are essential for the diagnosis of many diseases. These images are acquired with a device called the retinal camera. However, often small dust particles in the sensor produce image artifacts that can be confused with small lesions, such as micro-aneurysm...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/9157
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9157
- Palabra clave:
- Dictionary Learning
Inpainting
Retinal image
Sparse representation
Blood vessels
Diagnosis
Dust
Ophthalmology
Vision
Clinical settings
Dictionary learning
Inpainting
Inpainting process
Inpainting techniques
Retinal image
Retinal structure
Sparse representation
Image processing
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/