Fast underwater image enhancement based on a generative adversarial framework
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
A low-cost hyperspectral scanner for natural imaging and the study of animal colour vision above and under water [PDF]
Hyperspectral imaging is a widely used technology for industrial and scientific purposes, but the high cost and large size of commercial setups have made them impractical for most basic research.
Baden, T, Nevala, N E
core +1 more source
A holographic system for subsea recording and analysis of plankton and other marine particles [PDF]
We report here details of the design, development, initial testing and field-deployment of the HOLOMAR system for in-situ subsea holography and analysis of marine plankton and nonliving particles.
Alexander, S +18 more
core +1 more source
PUGAN: Physical Model-Guided Underwater Image Enhancement Using GAN With Dual-Discriminators [PDF]
Due to the light absorption and scattering induced by the water medium, underwater images usually suffer from some degradation problems, such as low contrast, color distortion, and blurring details, which aggravate the difficulty of downstream underwater
Runmin Cong +6 more
semanticscholar +1 more source
Visual-Quality-Driven Learning for Underwater Vision Enhancement
The image processing community has witnessed remarkable advances in enhancing and restoring images. Nevertheless, restoring the visual quality of underwater images remains a great challenge.
Amaral, Henrique Grandinetti Barbosa +3 more
core +1 more source
Real-time Model-based Image Color Correction for Underwater Robots
Recently, a new underwater imaging formation model presented that the coefficients related to the direct and backscatter transmission signals are dependent on the type of water, camera specifications, water depth, and imaging range.
Li, Alberto Quattrini, Roznere, Monika
core +1 more source
An In-Depth Survey of Underwater Image Enhancement and Restoration
Images taken under water usually suffer from the problems of quality degradation, such as low contrast, blurring details, color deviations, non-uniform illumination, etc.
Miao Yang +5 more
doaj +1 more source
Underwater Image Enhancement Based on Hybrid Enhanced Generative Adversarial Network
In recent years, underwater image processing has played an essential role in ocean exploration. The complexity of seawater leads to the phenomena of light absorption and scattering, which in turn cause serious image degradation problems, making it ...
Danmi Xu +3 more
doaj +1 more source
An Underwater SLAM System using Sonar, Visual, Inertial, and Depth Sensor
This paper presents a novel tightly-coupled keyframe-based Simultaneous Localization and Mapping (SLAM) system with loop-closing and relocalization capabilities targeted for the underwater domain.
Li, Alberto Quattrini +2 more
core +1 more source
MSFE-UIENet: A Multi-Scale Feature Extraction Network for Marine Underwater Image Enhancement
Underwater optical images have outstanding advantages for short-range underwater target detection tasks. However, owing to the limitations of special underwater imaging environments, underwater images often have several problems, such as noise ...
Shengya Zhao +3 more
doaj +1 more source

