New Signal Processing Methods for Blur Detection and Applications
Abstract:
The depth richness of a scene translates into a spatially variable defocus blur in the acquired image. Blurring can mislead computational image understanding; therefore, blur detection can be used for selective image enhancement of blurred regions and the application of image understanding algorithms to sharp regions. This work focuses on blur detection and its application to image enhancement.
Año de publicación:
2019
Keywords:
Fuente:

Tipo de documento:
Other
Estado:
Acceso abierto
Áreas de conocimiento:
- Ciencias de la computación
- Procesamiento de señales
Áreas temáticas:
- Ciencias de la computación
- Física aplicada