Chinese Journal of Liquid Crystals and Displays, Volume. 39, Issue 9, 1274(2024)

Sand-dust image enhancement based on Lab color space

Hongxia NIU1,2 and Hongzhu ZHANG2,3、*
Author Affiliations
  • 1School of Automation and Electrical Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China
  • 2Key Laboratory of Plateau Traffic Information Engineering and Control of Gansu Province,Lanzhou Jiaotong University,Lanzhou 730070,China
  • 3Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education,Lanzhou Jiaotong University,Lanzhou 730070,China
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    References(22)

    [10] LEE H S. Efficient color correction using normalized singular value for duststorm image enhancement[J]. ET Journal, 5, 15-34(2022).

    [11] SHI Z H, LIU C Y, REN W Q et al. Convolutional neural networks for sand dust image color restoration and visibility enhancement[J]. Journal of Image and Graphics, 27, 1493-1508(2022).

    [12] DING Y, WU K J. Sand dust degradation images enhancement algorithm via multi-branch restoration network[J]. Computer Engineering and Applications, 59, 227-237(2023).

    [22] XU X Z, CAI Y H, LIU C J et al. Color cast detection and color correction methods based on image analysis[J]. Measurement & Control Technology, 27, 10-12, 21(2008).

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    Hongxia NIU, Hongzhu ZHANG. Sand-dust image enhancement based on Lab color space[J]. Chinese Journal of Liquid Crystals and Displays, 2024, 39(9): 1274

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    Paper Information

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    Received: Nov. 6, 2023

    Accepted: --

    Published Online: Nov. 13, 2024

    The Author Email: Hongzhu ZHANG (543789795@qq.com)

    DOI:10.37188/CJLCD.2023-0351

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