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Author:

Yu, Jing (Yu, Jing.) | Xiao, Chuangbai (Xiao, Chuangbai.) | Li, Dapeng (Li, Dapeng.)

Indexed by:

EI Scopus

Abstract:

Imaging in poor weather is often severely degraded by scattering due to suspended particles in the atmosphere such as haze, fog and mist. Poor visibility becomes a major problem for most outdoor vision applications. In this paper, we propose a novel fast defogging method from a single image of a scene based on a fast bilateral filtering approach. The complexity of our method is only a linear function of the number of input image pixels and this thus allows a very fast implementation. Results on a variety of outdoor foggy images demonstrate that our method achieves good restoration for contrast and color fidelity, resulting in a large improvement in image visibility. © 2010 IEEE.

Keyword:

Restoration Visibility Nonlinear filtering Image enhancement

Author Community:

  • [ 1 ] [Yu, Jing]Department of Electronic Engineering, Tsinghua University, Beijing, 100084, China
  • [ 2 ] [Xiao, Chuangbai]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Li, Dapeng]College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China

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Source :

Year: 2010

Page: 1048-1052

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 103

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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