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Single-image dehazing using scene radiance constraint and color gradient guided filter

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Abstract

Haze and other types of atmospheric particles limit visibility and reduce image contrast, which will seriously influence the visual system. In recent years, most existing single-image dehazing algorithms have made significant progress. However, most of the existing dehazing algorithms suffer from under- or over-enhancement, color distortion and halo artifacts. The dark channel prior which is widely recognized also has such problems due to improper assumptions or operations. To solve these problems, in this paper, a scene radiance constraint is proposed to remove haze and a color gradient guided filter is proposed to refine the initial transmission map. From the experimental results, it is demonstrated that the proposed method achieves excellent performance compared with the representative dehazing methods in terms of image’s visibility and color restoration.

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Authors and Affiliations

  1. Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, 130033, China

    Haonan Han, Feng Qian & Bao Zhang

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Haonan Han

Authors
  1. Haonan Han
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  2. Feng Qian
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  3. Bao Zhang
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Correspondence to Haonan Han.

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Han, H., Qian, F. & Zhang, B. Single-image dehazing using scene radiance constraint and color gradient guided filter. SIViP 16, 1297–1304 (2022). https://doi.org/10.1007/s11760-021-02081-3

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  • DOI: https://doi.org/10.1007/s11760-021-02081-3

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