Single image dehazing with image entropy and information fidelity

Dubok Park, Hyungjo Park, David K. Han, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

57 Citations (Scopus)


In this paper, we propose a new single image dehazing approach based on information fidelity and image entropy. The global atmospheric light is estimated by quadtree subdivision using transformed hazy images. Then, transmission is estimated by an objective function which is comprised of information fidelity and image entropy at non-overlapped sub-block regions. This is further refined by a Weighted Least Squares (WLS) optimization procedure to alleviate block artifacts. We compared performance of the proposed method with conventional methods to validate its effectiveness in an experiment.

Original languageEnglish
Title of host publication2014 IEEE International Conference on Image Processing, ICIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Print)9781479957514
Publication statusPublished - 2014 Jan 28


  • Airlight
  • dehazing
  • edge-preserving smoothing
  • image entropy
  • transmission

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition


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