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An Effective and Efficient Dehazing Method of Single Input Image

  • Fu-Qiang Han
  • Zhan-Li Sun
  • Ya-Min Wang
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 875)

Abstract

The quality of an image may be degraded seriously when it is captured in a foggy weather condition. In this paper, an effective and efficient dehazing method is proposed for a single input image by combining the dark channel prior information and a low-light image enhancement model. First, the dark channel is derived via two minimum operations. After estimating the atmospheric light, the transmission is initialized according to the property of aerial perspective. In terms of the atmospheric light, a bound constraint is computed further to refine the transmission. Finally, a high-quality image is obtained via the haze image model. Experimental results demonstrate the effectiveness and efficiency of the proposed method.

Keywords

Image dehazing Transmission estimation Dark channel prior 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.School of Electrical Engineering and AutomationAnhui UniversityHefeiChina

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