Computer and Modernization ›› 2016, Vol. 251 ›› Issue (07): 18-23.doi: 10.3969/j.issn.1006-2475.2016.07.004

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 Beach Foggy Images Haze Removal Based on Dark Channel Prior

  

  1. College of Automation and Electrical Engineering, Qingdao University, Qingdao 266071, China
  • Received:2016-03-17 Online:2016-07-21 Published:2016-07-22

Abstract:

 In the effects of fog, haze and other bad weather, the beach images acquired from camera have serious distorted and degraded. In order to get better picture
information from restored image, this paper proposed a K-means clustering algorithm combined with dark channel prior theory. Firstly, using K-means clustering algorithm to
divide sky region based on the characteristics of beach scene, the atmospheric light intensity value is obtained by non-sky area luminance values with the sky region luminance
values weighted. Secondly, the transmission is estimated and improved based on atmospheric scattering model. Finally, in order to increase the brightness of the image and
enhance the image contrast, this paper adopted tone remapping on the image. A large number of experiments show that the algorithm can get an excellent performance on image haze
removal for the beach foggy image and particularly do better than traditional defogging algorithm, which is more suitable for processing beach foggy image.

Key words:  dark channel prior, atmosphere scattering model, K-means clustering