Addressing Once More the (Im)possibility of Color Reconstruction in Underwater Images

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.

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Publication Details

Journal
Journal of Imaging
Published
2024-10-08
DOI
https://doi.org/10.3390/jimaging10100247
Citations
1
Primary Topic
Image Enhancement Techniques
Type
article
Field-Weighted Citation Impact
0.25

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article

Addressing Once More the (Im)possibility of Color Reconstruction in Underwater Images

Kim Lowell, Yuri Rzhanov
1 citations
Journal of Imaging
Image Enhancement Techniques
0.25
article

Addressing Once More the (Im)possibility of Color Reconstruction in Underwater Images

Kim Lowell, Yuri Rzhanov
article en
1 citations

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 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.

Journal of ImagingVol. 10(10)
University of New Hampshire (US)
National Oceanic and Atmospheric Administration
Life below water
Openalex Percentile: Top 46%
Image Enhancement Techniques
0.25
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Addressing Once More the (Im)possibility of Color Reconstruction in Underwater Images — Kim Lowell, Yuri Rzhanov · Journal of Imaging (2024) | TGRS Research Map | TGRS