Noise-Robust Processing of Phase Dislocations using Combined Unwrapping and Sparse Inpainting with Dictionary Learning
The problem of phase unwrapping from a noisy and also incomplete wrapped phase map arises in many optics and image processing applications. In this work, we propose a noise-robust approach for processing regional phase dislocations. Our approach combines phase unwrapping and sparse-based inpainting...
- 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:20.500.12585/9155
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/9155
- Palabra clave:
- 3-D Reconstruction
Dictionary Learning
Image restoration
Phase unwrapping
Sparse representation
Gaussian noise (electronic)
Optical data processing
Restoration
Vision
White noise
3D reconstruction
Additive White Gaussian noise
Dictionary learning
Fringe projection profilometry
Image processing applications
Phase unwrapping
Sparse representation
Wrapped phase map
Image reconstruction
- Rights
- restrictedAccess
- License
- http://creativecommons.org/licenses/by-nc-nd/4.0/