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Transmission Estimation in Underwater Single Images

Drews Jr, P., do Nascimento, E., Moraes, F., Botelho, S., Campos, M.·2013·2013 IEEE International Conference on Computer Vision Workshops

Abstract

This paper proposes a methodology to estimate the transmission in underwater environments which consists on an adaptation of the Dark Channel Prior (DCP), a statistical prior based on properties of images obtained in outdoor natural scenes. Our methodology, called Underwater DCP (UDCP), basically considers that the blue and green color channels are the underwater visual information source, which enables a significant improvement over existing methods based in DCP. This is shown through a comparative study with state of the art techniques, we present a detailed analysis of our technique which shows its applicability and limitations in images acquired from real and simulated scenes.

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Metadata

Authors
Drews Jr, P., do Nascimento, E., Moraes, F., Botelho, S., & Campos, M.
Venue
2013 IEEE International Conference on Computer Vision Workshops
Publisher
IEEE
Published
2013-12
Pages
825-830
ISSN
2473-9936 (ISSN-L)
OpenAlex
W2009071067
Cited by
866
References
0
FWCI
5.12
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Transmission Estimation in Underwater Single Images. https://app.cochat.ai/papers/10.1109/iccvw.2013.113
The paper
Drews Jr, P., do Nascimento, E., Moraes, F., Botelho, S., & Campos, M. (2013). Transmission Estimation in Underwater Single Images. 2013 IEEE International Conference on Computer Vision Workshops. https://doi.org/10.1109/iccvw.2013.113

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.