Phenomenological marine snow model for optical underwater image simulation: Applications to color restoration

Conference object English OPEN
Boffety , Matthieu; Galland , Frédéric;
(2012)
  • Publisher: HAL CCSD
  • Related identifiers: doi: 10.1109/OCEANS-Yeosu.2012.6263448
  • Subject: [ SPI.OPTI ] Engineering Sciences [physics]/Optics / Photonic | [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic | [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing | [ PHYS.PHYS.PHYS-OPTICS ] Physics [physics]/Physics [physics]/Optics [physics.optics] | [ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing | [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics]
    acm: ComputingMethodologies_COMPUTERGRAPHICS | ComputerApplications_COMPUTERSINOTHERSYSTEMS | GeneralLiterature_MISCELLANEOUS | ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION

International audience; Optical imaging plays an important role in oceanic science and engineering. However, the design of optical systems and image processing techniques for subsea environment are challenging tasks due to water turbidity. Marine snow is notably a major... View more
  • References (16)
    16 references, page 1 of 2

    [1] J. Jaffe, J. Mclean, M. Strand, and K. Moore, Underwater Optical Imaging: Status and Prospects, Oceanography 14, 64-75 (2001).

    [2] D. Kocak, F. Dalgleish, and F. Caimi, A focus on recent developments and trends in underwater imaging, Marine Technology 42, 52-67 (2008).

    [3] W. Hou, A. Weidemann, and D. Gray, Improving Underwater Imaging with Ocean Optics Research, Ocean Science and Technology pp. 195-196 (2008).

    [4] R. Schettini and S. Corchs, Underwater Image Processing: State of the Art of Restoration and Image Enhancement Methods, EURASIP Journal on Advances in Signal Processing 2010 (2010).

    [5] B. McGlamery, Computer analysis and simulation of underwater camera system performance, Tech. rep., Scripps. Inst. of Oceanography, San Diego (1975).

    [6] J. Jaffe, Computer Modeling and the Design of Optimal Underwater Imaging Systems, IEEE Journal of Oceanic Engineering 15, 101-111 (1990).

    [7] S. Negahdaripour, H. Zhang, and X. Han, Investigation of photometric stereo method for 3-d shape recovery from underwater imagery, in MTS/IEEE Oceans, (Marine Technol. Soc, Biloxi, 2002), pp. 1010-1017.

    [8] A. Pentland, A new sense for depth of field, IEEE transactions on pattern analysis and machine intelligence 9, 523-531 (1987).

    [9] W. Slade, E. Boss, and C. Russo, Effects of particle aggregation and disaggregation on their inherent optical properties, Optics Express 19, 7945-7959 (2011).

    [10] Y. Schechner and N. Karpel, Recovery of Underwater Visibility and Structure by Polarization Analysis, IEEE Journal of Oceanic Engineering 30, 570-587 (2005).

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