Defocus Map Detection Using a Single Image
Abstract:
The estimation of blurred regions is an important stage in several computer vision applications. In this paper an efficient training-free detector of local blurriness based on edge features is presented. Due to the intrinsic sparsity of edges in natural images a blur map is creating by using an approach based on the heat diffusion principle. A 2D point discrete Poisson solver is concatenated with a guided filter stage in order to create the blurring map. Experiments with images from two publicly available datasets validate the proposed method.
Año de publicación:
2016
Keywords:
- blur map
- out of focus
- Poisson solver
Fuente:
scopus
google
Tipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Visión por computadora
Áreas temáticas:
- Métodos informáticos especiales