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Lighting the darkness in the sea: A deep learning model for underwater image enhancement

open access: yesFrontiers in Marine Science, 2022
Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie   +5 more
doaj   +1 more source

Underwater Images Enhancement by Revised Underwater Images Formation Model

open access: yesIEEE Access, 2022
In this paper, we proposed the efficient and appealing technique for underwater images enhancement. Underwater images often suffer from haze, color distortion, low contrast and loss of the human acuity due to light scattering and absorption. To tackle these issues, proposed precise model is presented expressively showed that: (1) the estimation of the ...
Soo-Chang Pei, Chia-Yi Chen
openaire   +3 more sources

Fast underwater image enhancement based on a generative adversarial framework

open access: yesFrontiers in Marine Science, 2023
Underwater image enhancement is a fundamental requirement in the field of underwater vision. Along with the development of deep learning, underwater image enhancement has made remarkable progress. However, most deep learning-based enhancement methods are
Yang Guan   +8 more
doaj   +1 more source

Research on the Influence of Underwater Image Enhancement Restoration on the Accuracy of Deep Learning Object Detection [PDF]

open access: yesJisuanji gongcheng, 2023
Due to the particularity of the underwater environment, underwater optical images often suffer from degradation issues such as color cast, blur, and low contrast.
Xieliu YANG, Guowen MEN, Wenfeng LIANG, Dan WANG, Zhengyi XIE, Huijie FAN
doaj   +1 more source

Cross-domain learning for underwater image enhancement [PDF]

open access: yes, 2023
The poor quality of underwater images has become a widely-known cause affecting the performance of the underwater development projects, including mineral exploitation, driving photography, and navigation for autonomous underwater vehicles.
He, X   +5 more
core   +1 more source

Enhancing underwater images by fusion [PDF]

open access: yesACM SIGGRAPH 2011 Posters, 2011
When photographs are taken in underwater conditions the visibility of the scene is degraded significantly. This is due to the fact that the radiance of a point in the scene is directly influenced by the medium scattering. Practically, distant objects and part of the scene suffers from poor visibility, loss of contrast and faded colors.
Cosmin Ancuti   +3 more
openaire   +2 more sources

Real-time GAN-based image enhancement for robust underwater monocular SLAM

open access: yesFrontiers in Marine Science, 2023
Underwater monocular visual simultaneous localization and mapping (SLAM) plays a vital role in underwater computer vision and robotic perception fields.
Ziqiang Zheng   +4 more
doaj   +1 more source

A Hybrid Framework for Underwater Image Enhancement [PDF]

open access: yesIEEE Access, 2020
Underwater captured images often suffer from poor visibility caused by two major degradations: scattering and absorption. In this paper, we propose a hybrid framework for underwater image enhancement, which unifies underwater white balance and variational contrast and saturation enhancement. In our framework, the improved underwater white balance (UWB)
Xinjie Li   +3 more
openaire   +2 more sources

An End-to-End Underwater-Image-Enhancement Framework Based on Fractional Integral Retinex and Unsupervised Autoencoder

open access: yesFractal and Fractional, 2023
As an essential low-level computer vision task for remotely operated underwater robots and unmanned underwater vehicles to detect and understand the underwater environment, underwater image enhancement is facing challenges of light scattering, absorption,
Yang Yu, Chenfeng Qin
doaj   +1 more source

INAM-Based Image-Adaptive 3D LUTs for Underwater Image Enhancement. [PDF]

open access: yesSensors (Basel), 2023
To the best of our knowledge, applying adaptive three-dimensional lookup tables (3D LUTs) to underwater image enhancement is an unprecedented attempt. It can achieve excellent enhancement results compared to some other methods.
Xiao X, Gao X, Hui Y, Jin Z, Zhao H.
europepmc   +2 more sources

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