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An improved dark channel prior image defogging algorithm based on wavelength compensation

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Abstract

For the dark channel prior image dehazing algorithm to defog the foggy image with the same transmittance, the recovery result will have a more serious color shift problem. An image defogging algorithm based on different color wavelength compensation is proposed. Firstly, the median dark channel map is obtained by the median filtering method, and then the optical attenuation coefficients of different wavelengths are calculated to obtain the transmittance of Red-Green-Blue(RGB) three channels. Finally, the revised parameters are substituted into the atmospheric scattering model to restore the fog-free image. The experimental results show that the foggy image containing bright areas such as the sky have a good processing effect, which significantly reduces the color distortion of the bright area, and the image is clearer and more natural.

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Acknowledgements

This work was supported by the Natural Science Funds of China(No.61701213) and the Scientific and education Research Project Funds of Fujian Province(JAT160283, JK2016025).

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Authors and Affiliations

  1. College of Computer, Minnan Normal University, Zhangzhou, Fujian, China

    Zhixiang Chen, Binna Ou & Qianyi Tian

  2. Key Laboratory of Data Science and Intelligence Application, Fujian Province University, Zhangzhou, Fujian, China

    Zhixiang Chen, Binna Ou & Qianyi Tian

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  1. Zhixiang Chen
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  2. Binna Ou
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  3. Qianyi Tian
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Correspondence to Zhixiang Chen.

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Chen, Z., Ou, B. & Tian, Q. An improved dark channel prior image defogging algorithm based on wavelength compensation. Earth Sci Inform 12, 501–512 (2019). https://doi.org/10.1007/s12145-019-00395-y

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