Chinese Journal of Lasers, Volume. 42, Issue 8, 809001(2015)

Enhancement Dark Channel Algorithm of Fog Image Based on the TV Model

Gao Yin1、*, Yun Lijun2, Shi Junsheng1, and Wei Li1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less

    To deal with the hale phenomenon at the image edges, image hue、tone and brightness distortion problems in the classic dark channel theory algorithm, enhancement dark channel algorithm of fog image based on the total variation (TV) model is proposed.The rough transmission image based on the dark channel theory mathematical model is smoothed by the TV model. The image is segmented by the tolerance mechanism and distinguishes sky areas, so as to solve the halo phenomenon in the image highlight area. According to the dark channel theory mathematical model, it gets a defogging enhancement image from the inverse solution. Through the subjective observation and objective evaluation, the algorithm is better than the classic dark channel algorithm in the overall and details.

    Tools

    Get Citation

    Copy Citation Text

    Gao Yin, Yun Lijun, Shi Junsheng, Wei Li. Enhancement Dark Channel Algorithm of Fog Image Based on the TV Model[J]. Chinese Journal of Lasers, 2015, 42(8): 809001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: holography and information processing

    Received: Jan. 9, 2015

    Accepted: --

    Published Online: Sep. 24, 2022

    The Author Email: Yin Gao (yngaoyin@163.com)

    DOI:10.3788/cjl201542.0809001

    Topics