Underwater Imaging (2nd Edition)

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: 28 February 2025 | Viewed by 953

Special Issue Editor


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Guest Editor
Center for Coastal and Ocean Mapping/Joint Hydrographic Center, University of New Hampshire, Durham, NH 03824, USA
Interests: optical methods of seafloor mapping; blending techniques for the construction of photomosaics from imagery acquired underwater; seafloor structure reconstruction from multiple views; probabilistic reconstruction of color in underwater imagery
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Special Issue Information

Dear Colleagues,

Underwater imaging is a rapidly growing research field due to the increase in the number and sophistication of underwater platforms, such as manned submersibles, remotely operated vehicles, and autonomous underwater as well as surface vehicles. With an initial goal of the collection of imagery for subsequent annotation, underwater imaging became a tool for the construction of large area maps and the noninvasive ground-truthing of acoustic measurements. In the last decades, advances in the reconstruction of 3D scenes from imagery taken in air have encouraged researchers to develop similar techniques for underwater imagery. This proved to be a challenging task, because most cameras are designed for in-air use, and they are placed in protective housings for acquiring images underwater. Differences in the refractive indexes of air, water, and viewport material distort the images, and these distortions need to be taken into account to obtain quantitatively accurate reconstructions. The wavelength-dependent absorption of light by water presents another challenge. Color is an important cue for the recognition and classification of objects, which are indeed long-run objectives of imaging.

The goal of this Special Issue is to present the cutting edge research in the processing of underwater imagery, including, but not limited to, the following:

  • Acquisition instrumentation.
  • 3D reconstruction algorithms.
  • Color reconstruction.
  • Application of time-of-flight sensors.
  • Processing of imagery.
  • Multispectral imaging.

Prof. Dr. Yuri Rzhanov
Guest Editor

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Keywords

  • acquisition instrumentation
  • 3D reconstruction algorithms
  • color reconstruction underwater
  • application of time-of-flight sensors
  • multispectral imaging

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Published Papers (1 paper)

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Research

9 pages, 1762 KiB  
Communication
Addressing Once More the (Im)possibility of Color Reconstruction in Underwater Images
by Yuri Rzhanov and Kim Lowell
J. Imaging 2024, 10(10), 247; https://doi.org/10.3390/jimaging10100247 - 8 Oct 2024
Viewed by 719
Abstract
Color is an important cue in object recognition and classification problems. In underwater imagery, colors undergo strong distortion due to light propagation through an absorbing and scattering medium. Distortions depend on a number of complex phenomena, the most important being wavelength-dependent absorption and [...] Read more.
Color is an important cue in object recognition and classification problems. In underwater imagery, colors undergo strong distortion due to light propagation through an absorbing and scattering medium. Distortions depend on a number of complex phenomena, the most important being wavelength-dependent absorption and the sensitivity of sensors in trichromatic cameras. It has been shown previously that unique reconstruction in this case is not possible—at least for a simplified image formation model. In this paper, the authors use numerical simulations to demonstrate that this statement also holds for the underwater image formation model that is currently the most sophisticated. Full article
(This article belongs to the Special Issue Underwater Imaging (2nd Edition))
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