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Image Blending Techniques and their Application in Underwater Mosaicing

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

This chapter introduces the reader to the problem of high-quality large-scale underwater optical mapping, as well as to the need for blending techniques to improve the quality of the generated maps. Underwater surveys are nowadays carried out by Underwater Vehicles (UVs), which allow diving at extreme depths during long periods of time. Optical imaging provides short-range high-resolution visual information of the ocean floor. Unfortunately, several medium-specific phenomena, such as light attenuation and scattering, constrain the acquisition by limiting the maximum area covered by a single image. Hence, optically mapping large seafloor areas can only be achieved by building image mosaics from a set of reduced area pictures, i.e. photo-mosaics. Blending techniques provide a set of heterogeneously appearing images of a given map with a continuous and consistent appearance. Beyond visual appearance, blending techniques are also important for proper interpretation and scientific exploitation of seafloor imagery. Finally, the book structure is outlined at the end of the chapter.

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References

  1. Somers, L.H.: History of diving: Selected events, Aug 2002

    Google Scholar 

  2. Eustice, R., Singh, H., Leonard, J.J., Walter, M.R.: Visually mapping the rms titanic: conservative covariance estimates for slam information filters. Int. J. Robot. Res. 25(12), 1223–1242 (2006)

    Article  Google Scholar 

  3. Zhu, Z., Riseman, E., Hanson, A., Schultz, H.: An efficient method for geo-referenced video mosaicing for environmental monitoring. Mach. Vis. Appl. 16, 203–216 (2005). doi:10.1007/s00138-005-0173-x

    Article  Google Scholar 

  4. Escartin, J., Garcia, R., Delaunoy, O., Ferrer, J., Gracias, N., Elibol, A., Cufi, X., Neumann, L., Fornari, D.J., Humphris, S.E., Renard, J.: Globally aligned photomosaic of the lucky strike hydrothermal vent field (Mid-Atlantic ridge, 37\({^\circ }\)18.5’N): release of georeferenced data, mosaic construction, and viewing software. Geochem. Geophys. Geosyst. 9(12), 12(1)–12(17) (2008). ISSN: 1525-2027. doi:10.1029/2008GC002204

  5. Pizarro, O., Singh, H.: Toward large-area mosaicing for underwater scientific applications. IEEE J. Oceanic Eng. 28(4), 651–672 (2003)

    Article  Google Scholar 

  6. Drap, P., Scaradozzi, D., Gambogi, P., Gauch, F.: Underwater photogrammetry for archaeology-the venus project framework. In: GRAPP, pp. 485–491 (2008)

    Google Scholar 

  7. Jerosch, K., Lüdtke, A., Schlüter, M., Ioannidis, G.T.: Automatic content-based analysis of georeferenced image data: detection of beggiatoa mats in seafloor video mosaics from the hakon mosby mud volcano. Comput. Geosci. 33(2), 202–218 (2007)

    Article  Google Scholar 

  8. Lirman, D., Gracias, N., Gintert, B., Gleason, A., Reid, R., Negahdaripour, S., Kramer, P.: Development and application of a video-mosaic survey technology to document the status of coral reef communities. Environ. Monit. Assess. 125, 59–73 (2007). doi:10.1007/s10661-006-9239-0

    Article  Google Scholar 

  9. Gleason, A.C.R., Lirman, D., Williams, D., Gracias, N., Gintert, B.E., Madjidi, H., Pamela, R., Chris, B.G., Negahdaripour, S., Miller, M., Kramer, P.: Documenting hurricane impacts on coral reefs using two-dimensional video-mosaic technology. Mar. Ecol. 28(2), 254–258 (2007)

    Article  Google Scholar 

  10. Lirman, D., Gracias, N., Gintert, B., Gleason, A., Deangelo, G., Dick, M., Martinez, E., Reid, R.P.: Damage and recovery assessment of vessel grounding injuries on coral reef habitats using georeferenced landscape video mosaics. Limnol. Oceanogr. Methods 8, 88–97 (2010)

    Article  Google Scholar 

  11. Delaunoy, O., Gracias, N., Garcia, R.: Towards detecting changes in underwater image sequences. In: Proceedings of the MTS/IEEE OCEANS Conference. Kobe, Japan, pp. 1–8 (2008)

    Google Scholar 

  12. Heirtzler, J.R.: Project famous. Rev. Geophys. 13(3), 542–542 (1975)

    Article  Google Scholar 

  13. Kopf, J., Uyttendaele, M., Deussen, O., Cohen, M.: Capturing and viewing gigapixel images. ACM Trans. Graph. (SIGGRAPH) 26(3), 93(1)–93(10) (2007)

    Google Scholar 

  14. Uyttendaele, M., Eden, A., Szeliski, R.: Eliminating ghosting and exposure artifacts in image mosaics. In: Proceedings of the International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 509–516 (2001)

    Google Scholar 

  15. Jia, J., Tang, C.-K.: Image registration with global and local luminance alignment. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), vol. 1, pp. 156–163, Oct 2003

    Google Scholar 

  16. Litvinov, A., Schechner, Y.Y.: Radiometric framework for image mosaicking. J. Opt. Soc. Am. 22(5), 839–848 (2005)

    Article  Google Scholar 

  17. Zhao, W.: Flexible image blending for image mosaicing with reduced artifacts. Int. J. Pattern Recogn. Artif. Intell. 20(4), 609–628 (2006)

    Article  Google Scholar 

  18. Cheng, Y., Xue, D., Li, Y.: A fast mosaic approach for remote sensing images. In: International Conference on Mechatronics and Automation (ICMA), pp. 2009–2013, Aug 2007

    Google Scholar 

  19. Garcia, R., Nicosevici, T., Cufi, X.: On the way to solve lighting problems in underwater imaging. In: Proceedings of the MTS/IEEE OCEANS Conference, vol. 2, pp. 1018–1024, Oct 2002

    Google Scholar 

  20. Rzhanov, Y., Gu, F.: Enhancement of underwater videomosaics for post-processing. In: Proceedings of the MTS/IEEE OCEANS Conference, pp. 1–6, Oct 2007

    Google Scholar 

  21. Ferrer, J., Elibol, A., Delaunoy, O., Gracias, N., Garcia, R.: Large-area photo-mosaics using global alignment and navigation data. In: Proceedings of the IEEE OCEANS Conference, pp. 1–9, Oct 2007

    Google Scholar 

  22. Elibol, A., Garcia, R., Delaunoy, O., Gracias, N.: A new global alignment method for feature based image mosaicing. In: Proceedings of the International Symposium on Advances in Visual Computing (ISVC), Part II. SpringerVerlag, Berlin, Heidelberg, pp. 257–266 (2008)

    Google Scholar 

  23. Elibol, A., Gracias, N., Garcia, R.: Augmented state-extended kalman filter combined framework for topology estimation in large-area underwater mapping. J. Field Robot. 27(5), 656–674 (2010)

    Article  Google Scholar 

  24. Elibol, A., Garcia, R., Gracias, N.: A new global alignment approach for underwater optical mapping. Ocean Eng. 38(10), 1207–1219 (2011)

    Article  Google Scholar 

  25. Shao, B., Jaffe, J.S., Chachisvilis, M., Esener, S.C.: Angular resolved light scattering for discriminating among marine picoplankton: modeling and experimental measurements. Opt. Express 14(25), 12473–12484 (2006)

    Article  Google Scholar 

  26. Barreyre, T., Escartin, J., Garcia, R., Cannat, M., Mittelstaedt, E., Prados, R.: Structure, temporal evolution, and heat flux estimates from a deep-sea hydrothermal field derived from seafloor image mosaics. Geochem. Geophys. Geosyst. 13(4), 1–29 (2012)

    Article  Google Scholar 

  27. Mittelstaedt, E., Escartin, J., Gracias, N., Olive, J.A., Barreyre, T., Davaille, A., Cannat, M., Garcia, R.: Quantifying diffuse and discrete venting at the Tour Eiffel vent site, lucky strike hydrothermal field. Geochem. Geophys. Geosyst. 13(4), 1–18 (2012). ISSN: 1525-2027. doi:10.1029/2011GC003991

    Google Scholar 

  28. Brown, J.F.: Br. J. Photogr. (1985)

    Google Scholar 

  29. Starr, C., Evers, C.A., Starr, L.: Biology: Concepts and Applications. Brooks/Cole, Belmont (2010)

    Google Scholar 

  30. Wozniak, B., Dera, J.: Light Absorption in Sea Water. Atmospheric and Oceanographic Sciences Library, vol. 33. Springer, New York (2007)

    Google Scholar 

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Authors and Affiliations

  1. University of Girona, Girona, Spain

    Ricard Prados, Rafael Garcia & László Neumann

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  1. Ricard Prados
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  2. Rafael Garcia
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  3. László Neumann
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Correspondence to Ricard Prados .

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Prados, R., Garcia, R., Neumann, L. (2014). Introduction. In: Image Blending Techniques and their Application in Underwater Mosaicing. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-05558-9_1

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  • DOI: https://doi.org/10.1007/978-3-319-05558-9_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-05557-2

  • Online ISBN: 978-3-319-05558-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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