Iterative image dehazing using the dark channel prior

Sung Ho Lee, Seung Won Jung, Sung Jea Ko

Research output: Contribution to journalArticlepeer-review


The dark channel prior (DCP)-based image dehazing method has been widely used for enhancing visibility of outdoor images. However, since the DCP-based method assumes that the minimum values within local patches of natural outdoor haze-free images are zero, underestimation of the transmission is inevitable when the assumption does not hold. In this letter, a novel iterative image dehazing algorithm is proposed to compensate for the underestimated transmission. Experimental results show that the proposed method can improve the dehazing performance by increasing the transmission estimation accuracy.

Original languageEnglish
Pages (from-to)1904-1906
Number of pages3
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Issue number10
Publication statusPublished - 2016 Oct

Bibliographical note

Funding Information:
This research was supported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2014R1A1A2057970).

Publisher Copyright:
Copyright © 2016 The Institute of Electronics, Information and Communication Engineers.


  • Dark channel prior
  • Haze removal
  • Iterative transmission estimation
  • Single image dehazing

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics


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