Browse > Article
http://dx.doi.org/10.12654/JCS.2021.37.4.01

Study on Distortion Compensation of Underwater Archaeological Images Acquired through a Fisheye Lens and Practical Suggestions for Underwater Photography - A Case of Taean Mado Shipwreck No. 1 and No. 2 -  

Jung, Young-Hwa (Kongju National University)
Kim, Gyuho (Kongju National University)
Yoo, Woo Sik (WaferMasters, Inc.)
Publication Information
Journal of Conservation Science / v.37, no.4, 2021 , pp. 312-321 More about this Journal
Abstract
Underwater archaeology relies heavily on photography and video image recording during surveillances and excavations like ordinary archaeological studies on land. All underwater images suffer poor image quality and distortions due to poor visibility, low contrast and blur, caused by differences in refractive indices of water and air, properties of selected lenses and shapes of viewports. In the Yellow Sea (between mainland China and the Korean peninsula), the visibility underwater is far less than 1 m, typically in the range of 30 cm to 50 cm, on even a clear day, due to very high turbidity. For photographing 1 m x 1 m grids underwater, a very wide view angle (180°) fisheye lens with an 8 mm focal length is intentionally used despite unwanted severe barrel-shaped image distortion, even with a dome port camera housing. It is very difficult to map wide underwater archaeological excavation sites by combining severely distorted images. Development of practical compensation methods for distorted underwater images acquired through the fisheye lens is strongly desired. In this study, the source of image distortion in underwater photography is investigated. We have identified the source of image distortion as the mismatching, in optical axis and focal points, between dome port housing and fisheye lens. A practical image distortion compensation method, using customized image processing software, was explored and verified using archived underwater excavation images for effectiveness in underwater archaeological applications. To minimize unusable area due to severe distortion after distortion compensation, practical underwater photography guidelines are suggested.
Keywords
Underwater archaeology; Fisheye lens; Image analysis software; Barrel distortion; Pincushion distortion; Distortion compensation;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Ryu, S., Yoo, W.S. and Baba, H., 2020, Study on readability improvement of damaged wooden tablets using image processing software. The 51st, 52nd Conference of the Korean Society of Conservation Science for Cultural Heritage, Daejeon, Korea, October 16-17, 301-302.
2 Wei, J., Li, C.F., Hu, S.M., Martin, R.R. and Tai, C.L., 2012, Fisheye video correction. IEEE Transactions on Visualization and Computer Graphics, 18(10), 1771-1783.   DOI
3 Yoo, W.S., Kang, K., Kim, J.G. and Jung, Y.H., 2019, Development of image analysis software for archaeological applications. Advancing Southeast Asian Archaeology, 2019, 402-411.
4 Yoo, W.S, Yoo, S.S, Yoo, B.H. and Yoo, S.J., 2021, Investigation on the conservation status of the 50-year-old "Yu Kil-Chun Archives" and an effective and practical method of preserving and sharing contents. Journal of Conservation Science, 37(2), 167-178. (in Korean with English Abstract)   DOI
5 Leng, X., 2016, Study on fisheye image correction algorithm. 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016), 187-189.
6 Kim, G., Kim, J.G., Kang K. and Yoo, W.S., 2019b, Image-based quantitative analysis of foxing stains on old printed paper documents. Heritage, 2(3), 2665-2677.   DOI
7 Lee, M., Kim, H. and Paik, J., 2019, Correction of barrel distortion in Fisheye lens images using image-based estimation of distortion parameters. IEEE Access, 7, 45723-45733.   DOI
8 Edmund Optics, 2021, https://www.edmundoptics.com/knowledge-center/application-notes/imaging/distortion/ (June 22, 2021).
9 Kim, E.A., Kim, D.S., Hyen, J.H. and Kim, G.H., 2019a, Study on material characteristic evaluation of Sangpyeongtongbo Coins in Joseon Dynasty using non-destructive analysis. Science and Engineering of Cultural Heritage, 14(1), 23-30. (in Korean with English Abstract)   DOI
10 Dhane, P., Kutty, K. and Bangadkar, S., 2012, A generic non-Linear method for Fisheye correction. International Journal of Computer Applications (0975 - 8887), 51(10), 58-65.   DOI
11 Lee, M.Y. and Wi, K.C., 2021, A study on the color of natural solvent for the red color reproduction of safflower. Journal of Conservation Science, 37(1), 13-24.   DOI
12 Yoo, W.S., 2020, Comparison of outlines by image analysis for derivation of objective validation results: "Ito Hirobumi's characters on the foundation stone" of the main building of Bank of Korea. Journal of Conservation Science, 36(6), 511-518. (in Korean with English Abstract)   DOI
13 Hughes, C., Glavin, M., Jones, E. and Denny, P., 2008, Review of geometric distortion compensation in Fish-Eye cameras. IET Irish Signals and Systems Conference (ISSC 2008), 162-167.
14 Kim, E.A., Lee, J.H. and Kim, G.H., 2021, A characteristic analysis of glass beads in Geumgwan Gaya, Korea (I). Journal of Conservation Science, 37(3), 232-244. (in Korean with English Abstract)   DOI
15 Xu, M., 2019, Comparison and research of Fisheye image correction algorithms in coal mine survey, IOP Conference Series: Earth and Environmental Science, 300, 022075.
16 HyperPhysics, 2021, Refraction of Light, http://hyperphysics.phy-astr.gsu.edu/hbase/geoopt/refr.html (June 1, 2021)
17 National Research Institute of Maritime Cultural Heritage of Korea, 2011, Taean Mado Shipwreck No. 2, Underwater Excavation Report.
18 Reef2Reef, 2021, Refractometers and salinity measurement, https://www.reef2reef.com/ams/refractometers-and-salinity-measurement.5/ (June 1, 2021)
19 Stupar, D.Z., Bajic, J.S., Joza, A.V, Dakic, B.M., Slankamenac, M.P., Zivanov, M.B. and Cibula, E., 2012, Remote monitoring of water salinity by using side-polished fiber-optic U-shaped sensor. 2012 15th International Conference: Power Electronics and Motion Control Conference (EPE/PEMC), Novi Sad, Serbia, September 4-6.
20 Wikipedia, 2021, Yellow sea, https://en.wikipedia.org/wiki/Yellow_Sea (June 1, 2021)
21 Yoo, W.S., Kim, J.G., Kang, K. and Yoo, Y., 2020, Considerations of color expression methods for paper-based cultural properties in conservation science. The 51st, 52nd Conference of the Korean Society of Conservation Science for Cultural Heritage, Daejeon, Korea, October 16-17, 306-311.
22 Yoo, Y. and Yoo, W.S., 2020, Quantification and description of colors and brightness of photographic images using image analysis software. The 51st, 52nd Conference of the Korean Society of Conservation Science for Cultural Heritage, Daejeon, Korea, October 16-17, 303-305.
23 Yoo, W. S., Kim, G.H., 2017, An application of image analysis in conservation science (I). Traditional techniques and modern technology. The Proceedings of the 6th Symposium of the Society for Conservation of Cultural Heritage in East Asia, Shanghai, China, 24-26 August 2017, 359-366.
24 Yoo, Y. and Yoo, W.S., 2021, Digital image comparisons for investigating aging effects and artificial modifications using image analysis software. Journal of Conservation Science, 37(1), 1-12.   DOI