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Abstract

Summary

Borehole data visualization has become increasingly important within the industry as a extensive research topic. Typically, detectors are deployed in boreholes filled with gas or liquid in low-light conditions, resulting poor and blurry visual data.

In this paper, we present a novel approach to enhance and assess the quality of optical borehole tele-viewers through visual compensation techniques. Firstly, an illumination compensation algorithm is introduced that effectively compensates for the reduction in brightness inside the borehole. Secondly, an impurity filtering algorithm based on Gaussian Mixture-based Back/Foreground Segmentation (GMG) is implemented to eliminate moving impurities as foreground while maintaining the stable borehole background. A TELTA inpainting method is used to compensate the eliminated area by leveraging the surrounding background as ingredients.

Finally, we introduce a comprehensive quality assessment framework that incorporates various metrics to evaluate the distribution of brightness and clarity of test frames before and after the compensations.

Our proposed design has demonstrated effectiveness in mitigating challenges of interpreting visual data from borehole environments. Furthermore, the enhanced visibility details improve subsequent borehole modelling using techniques such as Visual Simultaneous Localization and Mapping (V-SLAM), offering more discernible graphical information, along with an increased number of key feature points extracted.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.202472026
2024-05-13
2026-02-18

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References

  1. Hufnagel, R. E., & Stanley, N. R. (1964). Modulation transfer function associated with image transmission through turbulent media.JOSA, 54(1), 52–61.
     [Google Scholar]
  2. Hung, J. C., Huang, C. H., Liao, Y. C., Tang, N. C., & Chen, T. J. (2008). Exemplar-based Image Inpainting base on Structure Construction.J. Softw., 3(8), 57–64.
     [Google Scholar]
  3. Jaffe, J. S. (1990). Computer modeling and the design of optimal underwater imaging systems.IEEE Journal of Oceanic Engineering, 15(2), 101–111.
     [Google Scholar]
  4. Liu, Z., Yu, Y., Zhang, K., & Huang, H. (2001). Underwater image transmission and blurred image restoration.Optical Engineering, 40(6), 1125–1131.
     [Google Scholar]
  5. McGlamery, B. L. (1975). Computer analysis and simulation of underwater camera system performance.SIO ref, 75(2).
     [Google Scholar]
  6. Xu, L., Seet, G., & He, D. M. (2005, April). The effect of illumination volume in underwater camera image. In Third International Conference on Experimental Mechanics and Third Conference of the Asian Committee on Experimental Mechanics, 5852, 886–893.
     [Google Scholar]
  7. Yang, M., & Gong, C. L. (2012, August). Underwater image restoration by turbulence model based on image gradient distribution.In 2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering, 296–299. IEEE.
     [Google Scholar]
  8. Yang, M., Hu, J., Li, C., Rohde, G., Du, Y., & Hu, K. (2019). An in-depth survey of underwater image enhancement and restoration.IEEE Access, 7, 123638–123657.
     [Google Scholar]
  9. Zong, N., Al-Nuaimy, W., Lakany, H., & Worthington, P. (2023). Borehole Inner Surface Visualization System with Vibration Cancellation and Trajectory Smoothing Based on Optical Monocular Video Camera. In Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management, 2023, 69–78. SCITEPRESS-Science and Technology Publications.
     [Google Scholar]
/content/papers/10.3997/2214-4609.202472026
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A Novel Visual Compensation Approach to Scene Enhancement and Assessment in Monocular Borehole Video Tele-viewers
Conference Proceedings 2024, 1 (2024); https://doi.org/10.3997/2214-4609.202472026
/content/papers/10.3997/2214-4609.202472026
/content/papers/10.3997/2214-4609.202472026
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