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:

scopusscopus
googlegoogle

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Visión por computadora

Áreas temáticas:

  • Métodos informáticos especiales