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Image Quality Assessment for Construction E-inspection: A Case Study

In: Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate

Author

Listed:
  • Zhiming Dong

    (The University of Hong Kong)

  • Weisheng Lu

    (The University of Hong Kong)

  • Junjie Chen

    (The University of Hong Kong)

Abstract

The E-inspection platform provides a non-physical onsite presence solution for inspectors. The supervision units can inspect the tasks by online submitted documents. The image is an essential data source on the E-inspection platform because it can provide rich and intuitive information for inspectors. However, if the quality of the submitted image is low, the uploader needs to re-upload the record for inspection, which reduces the efficiency. The image quality assessment (IQA) metric can assess image quality quantitatively. The application of the IQA metric in the E-inspection platform can help the inspection record uploader recognize the low-quality image before submission. In this research, different IQA metrics are selected and conducted in an actual E-inspection task to illustrate efficiency and effectiveness.

Suggested Citation

  • Zhiming Dong & Weisheng Lu & Junjie Chen, 2023. "Image Quality Assessment for Construction E-inspection: A Case Study," Lecture Notes in Operations Research, in: Jing Li & Weisheng Lu & Yi Peng & Hongping Yuan & Daikun Wang (ed.), Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, pages 125-133, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-3626-7_10
    DOI: 10.1007/978-981-99-3626-7_10
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