Imaging Science and Photochemistry ›› 2016, Vol. 34 ›› Issue (1): 82-87.DOI: 10.7517/j.issn.1674-0475.2016.01.082

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Fast Haze Removal for Real-time Image and Video

WANG Xin1, SUN Yingying1, LI Yingfang2   

  1. 1. College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, Jilin, P. R. China;
    2. Computer-based Teaching Center, Changchun Institute of Technology, Changchun 130012, Jilin, P. R. China
  • Received:2015-09-29 Revised:2015-11-15 Online:2016-01-15 Published:2016-01-15


Outdoor image often lose visibility and contrast due to the presence of haze. To effectively enhance the degraded haze image, we can get clear image by enhancing haze image's contrast. However, the excessive enhancement of the degraded contrast may truncate pixel values and cause information loss. Therefore, we proposed a fast and optimized dehazing algorithm based on information loss. By minimizing the information loss, the output image not only has high contrast but also has very little information loss. Moreover, we convert RGB color space into YUV color space, and only process the luminance component. This greatly improves the computational speed, thus suitable for processing video sequence. The contrast experimental results show that the proposed algorithm can effectively remove haze and the computing speed is fast, which can fully meet the real-time requirement for the removal of video haze.

Key words: image dehazing, video dehazing, guide filter, transmittance