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Volume 44 Issue 12
Dec.  2022
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OUYANG Huiming, XIA Likun, LI Zemin, HE Yan, ZHU Xiaojie, ZHU Youpan, ZENG Bangze, ZHOU Yongkang. An Infrared Image Detail Enhancement Algorithm Based on Parameter Adaptive Guided Filtering[J]. Infrared Technology , 2022, 44(12): 1324-1331.
Citation: OUYANG Huiming, XIA Likun, LI Zemin, HE Yan, ZHU Xiaojie, ZHU Youpan, ZENG Bangze, ZHOU Yongkang. An Infrared Image Detail Enhancement Algorithm Based on Parameter Adaptive Guided Filtering[J]. Infrared Technology , 2022, 44(12): 1324-1331.
shu

An Infrared Image Detail Enhancement Algorithm Based on Parameter Adaptive Guided Filtering

  • 1.

    Kunming Institute of Physics, Kunming 650223, China

  • 2.

    The First Military Representative Office in Kunming of the Army Department in Chongqing, Kunming 650023, China

  • 3.

    System Engineering Research Institute of China State Shipbuilding Corporation, Beijing 100094, China

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  • Received Date: April 17, 2021
  • Revised Date: June 22, 2021
    Graphical Abstract
    • Abstract
  • Of all the image layered filters, guided filter has been widely studied and applied in the field of infrared image detail enhancement because of its good edge preserving effect and low computational complexity. However, traditional fixed regularization parameter ε of the guide filter cannot achieve good filtering layering effect in all scenarios. Therefore, an adaptive algorithm of parameter ε based on local variance is proposed in this paper to improve the adaptability of the guide filter in all scenarios. In addition, an improved detail layer adaptive enhancement algorithm based on noise mask function is proposed by using the adaptive parameter ε value, which can effectively suppress the noise level and improve the detail enhancement ability of the algorithm in different scenes.
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    • References (24)
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