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Volume 4 Issue 3
Jul.  2017

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2017  >  4(3): 410-436
Wencheng Wang and Xiaohui Yuan, "Recent Advances in Image Dehazing," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 410-436, July 2017. doi: 10.1109/JAS.2017.7510532
Citation: Wencheng Wang and Xiaohui Yuan, "Recent Advances in Image Dehazing," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 410-436, July 2017. doi: 10.1109/JAS.2017.7510532
shu

Recent Advances in Image Dehazing

doi: 10.1109/JAS.2017.7510532
  • 1.

    College of Information and Control Engineering, Weifang University, Weifang 261061, China

  • 2.

    Department of Computer Science and Engineering, University of North Texas, Denton 76207, TX, USA

Funds:

the National Natural Science Foundation of China 61403283

Shandong Provincial Natural Science Foundation ZR2013FQ036

Shandong Provincial Natural Science Foundation ZR2015PE025

the Spark Program of China 2013GA740053

the Spark Program of Shandong Province 2013XH06034

the Technology Development Plan of Weifang City 201301015

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    Abstract
  • Images captured in hazy or foggy weather conditions can be seriously degraded by scattering of atmospheric particles, which reduces the contrast, changes the color, and makes the object features difficult to identify by human vision and by some outdoor computer vision systems. Therefore image dehazing is an important issue and has been widely researched in the field of computer vision. The role of image dehazing is to remove the influence of weather factors in order to improve the visual effects of the image and provide benefit to post-processing. This paper reviews the main techniques of image dehazing that have been developed over the past decade. Firstly, we innovatively divide a number of approaches into three categories: image enhancement based methods, image fusion based methods and image restoration based methods. All methods are analyzed and corresponding sub-categories are introduced according to principles and characteristics. Various quality evaluation methods are then described, sorted and discussed in detail. Finally, research progress is summarized and future research directions are suggested.

     

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