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Fast Single Image Dehazing Using Morphological Reconstruction and Saturation Compensation

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MultiMedia Modeling (MMM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13141))

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Abstract

Despite having effective dehzing performance, single image dehazing methods based on the dark channel prior (DCP) still suffer from slightly dark dehazing results and oversaturated sky regions. An improved single image dehazing method, which combines image enhancement techniques with DCP model, is proposed to overcome this deficiency. Firstly, it is analyzed that the cause of darker results mainly lies in the air-light overestimation caused by bright ambient light and white objects. Then, the air-light estimation is modified by combining morphological reconstruction with DCP. Next, it is derived that appropriately increasing the saturation component can compensate for transmission underestimate, which can further alleviate the oversaturation. Finally, the image dehazed with modified air-light and transmission is further refined by linear intensity transformation to improve contrast. Extensive experiments validate the proposed method, which is on par with and even outperforms the state-of-the-art methods in subjective and objective evaluation.

This work was partially supported by the NSFC under Grant No. 61772050.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Beijing University of Technology, Beijing, China

    Shuang Zheng & Liang Wang

  2. Engineering Research Center of Digital Community, Ministry of Education, Beijing, China

    Liang Wang

Authors
  1. Shuang Zheng
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  2. Liang Wang
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Corresponding author

Correspondence to Liang Wang .

Editor information

Editors and Affiliations

  1. IT University of Copenhagen, Copenhagen, Denmark

    Björn Þór Jónsson

  2. Dublin City University, Dublin, Ireland

    Cathal Gurrin

  3. University of Science, VNU-HCM, Ho Chi Minh City, Vietnam

    Minh-Triet Tran

  4. University of Bergen, Bergen, Norway

    Duc-Tien Dang-Nguyen

  5. National Tsing Hua University, Hsinchu, Taiwan

    Anita Min-Chun Hu

  6. Hanoi University of Science and Technology, Hanoi, Vietnam

    Binh Huynh Thi Thanh

  7. Median Technologies, Valbonne, France

    Benoit Huet

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Zheng, S., Wang, L. (2022). Fast Single Image Dehazing Using Morphological Reconstruction and Saturation Compensation. In: Þór Jónsson, B., et al. MultiMedia Modeling. MMM 2022. Lecture Notes in Computer Science, vol 13141. Springer, Cham. https://doi.org/10.1007/978-3-030-98358-1_39

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  • DOI: https://doi.org/10.1007/978-3-030-98358-1_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98357-4

  • Online ISBN: 978-3-030-98358-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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