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Infrared Image Enhancement for Photovoltaic Panels Based on Improved Homomorphic Filtering and CLAHE

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Advances in Computer Graphics (CGI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14495))

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Abstract

To address the problems of low contrast and low illumination of infrared images of photovoltaic panels, an infrared image enhancement for photovoltaic panels is proposed. Firstly, in order to improve the overall brightness and contrast of the infrared image, a homomorphic filtering algorithm based on improved transfer function is designed, which constructs a transfer function with a similar structure to the homomorphic filtering profile. Secondly, using the contrast limited adaptive histogram equalization (CLAHE) algorithm fused with gamma correction to further process the image, which not only overcomes the defects of weak details and uneven brightness of the image enhanced by homomorphic filtering, but also improves the clarity and anti-interference of the image. The experimental results show that the proposed algorithm can effectively enhance the visual effect of infrared images, and then improve the integrity of photovoltaic panels in manually labeled images and the detection accuracy of photovoltaic panels.

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Authors and Affiliations

  1. School of Computer Science, Northeast Electric Power University, Jilin, 132012, China

    Wanchang Jiang & Dongdong Xue

Authors
  1. Wanchang Jiang
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  2. Dongdong Xue
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Corresponding author

Correspondence to Wanchang Jiang .

Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, Shanghai, China

    Bin Sheng

  2. Shanghai Jiao Tong University, Shanghai, China

    Lei Bi

  3. University of Sydney, Sydney, NSW, Australia

    Jinman Kim

  4. MIRALab-CUI, University of Geneve, Carouge, Geneve, Switzerland

    Nadia Magnenat-Thalmann

  5. Swiss Federal Institute of Technology, Lausanne, Switzerland

    Daniel Thalmann

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Jiang, W., Xue, D. (2024). Infrared Image Enhancement for Photovoltaic Panels Based on Improved Homomorphic Filtering and CLAHE. In: Sheng, B., Bi, L., Kim, J., Magnenat-Thalmann, N., Thalmann, D. (eds) Advances in Computer Graphics. CGI 2023. Lecture Notes in Computer Science, vol 14495. Springer, Cham. https://doi.org/10.1007/978-3-031-50069-5_29

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  • DOI: https://doi.org/10.1007/978-3-031-50069-5_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-50068-8

  • Online ISBN: 978-3-031-50069-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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