Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1237007(2025)

Image Restoration Based on Haze Feature Supervision and Super-Resolution Reconstruction in Nighttime-Driving Scenes

Guangye Wu1, Fang Liu2、*, Honggang Qu3, Lingyu Lei4, and Qian Ren4
Author Affiliations
  • 1Yuexiu (China) Transportation Infrastructure Investment Co., Ltd., Guangzhou 510000, Guangdong , China
  • 2China Academy of Transportation Sciences, Beijing 100029, China
  • 3Yuexiu (Hubei) Expressway Co., Ltd., Wuhan 430000, Hubei , China
  • 4Product Department, Beijing GOTEC ITS Technology Co., Ltd., Beijing 100088, China
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    References(24)

    [1] Zhao B, Li H P, Jin R N et al. A night image dehazing algorithm based on the adaptive atmospheric light and the weighted guided filter[J]. Advanced Engineering Sciences, 55, 225-234(2023).

    [3] Wang P, Zhang Y F, Bao F X et al. Multivariate optimized haze removal method based on hazy image degradation model[J]. Journal of Image and Graphics, 23, 605-616(2018).

    [18] Sun J Y, Chen F D, Han Y Y et al. Overview of image super-resolution algorithms[J]. Computer Engineering and Applications, 57, 1-9(2021).

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    Guangye Wu, Fang Liu, Honggang Qu, Lingyu Lei, Qian Ren. Image Restoration Based on Haze Feature Supervision and Super-Resolution Reconstruction in Nighttime-Driving Scenes[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1237007

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    Paper Information

    Category: Digital Image Processing

    Received: Sep. 10, 2024

    Accepted: Jan. 2, 2025

    Published Online: Jun. 25, 2025

    The Author Email: Fang Liu (liufang1978@126.com)

    DOI:10.3788/LOP241976

    CSTR:32186.14.LOP241976

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