Single Image Dehazing Based on Improved Dark Channel Prior and Unsharp Masking Algorithm

  • Liting PengEmail author
  • Bo Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10954)


In order to solve the problem of the “halo effect” and the bad color contrast after dehazing, a novel dehazing method based on the dark channel prior and the adaptive contrast enhancement algorithm is proposed. Using the hierarchical search method based on the quadratic tree space division to calculate the atmospheric light value, and then eliminate the “halo effect” caused by the guided filtering. By using the adaptive contrast enhancement algorithm based on unsharp masking algorithm to improve image information at the haze high concentration regional. Experimental results show that this algorithm can be more effective to dehaze and images after dehazing have a higher contrast.


Dark channel prior Guided filter Single image Unsharp masking 


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© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Computer Science and Technology, Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial SystemWuhan University of Science and TechnologyWuhanChina

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