Underwater image enhancement with image colorfulness measure [PDF]
Signal Processing: Image Communication, 2021 Abstract Due to the absorption and scattering effects of the water, underwater images tend to suffer from many severe problems, such as low contrast, grayed out colors and blurring content. To improve the visual quality of underwater images, we proposed a novel enhancement model, which is a trainable end-to-end neural model.
Xi Yang, Hui Li, Rong Chen
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Domain Adaptation for Underwater Image Enhancement via Content and Style Separation
IEEE Access, 2022 Underwater image suffer from color cast, low contrast and hazy effect, which degraded the high-level vision application. Recent learning-based methods demonstrate astonishing performance on underwater image enhancement, however, most of these works use ...
Yu-Wei Chen, Soo-Chang Pei
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Adaptive polarimetric image representation for contrast optimization of a polarized beacon through fog [PDF]
, 2015 We present a contrast-maximizing optimal linear representation of polarimetric images obtained from a snapshot polarimetric camera for enhanced vision of a polarized light source in obscured weather conditions (fog, haze, cloud) over long distances ...
Alouini, Mehdi +2 more
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An In-Depth Survey of Underwater Image Enhancement and Restoration
IEEE Access, 2019 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
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Real-time Model-based Image Color Correction for Underwater Robots
, 2020 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
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Investigating submerged morphologies by means of the low-budget “GeoDive” method (high resolution for detailed 3D reconstruction and related measurements) [PDF]
, 2018 Geophysical methods allow to collect geological data on lake and sea bottoms and characterize large areas, even at high depths, but with high costs.
Crognale, Jacopo +2 more
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A Survey of Restoration and Enhancement for Underwater Images
IEEE Access, 2019 Images captured underwater usually suffer from color distortion, detail blurring, low contrast, and a bluish or greenish tone due to light scattering and absorption in the underwater medium, which in turn the visibility is adversely affected by these ...
Weidong Zhang +5 more
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Underwater image enhancement network based on visual Transformer with multiple loss functions fusion
智能科学与技术学报, 2022 Due to the absorption and scattering of light in water, the images captured by underwater robots suffer from color distortion and reduced contrast.Aiming at alleviating the quality degradation phenomenon of underwater images, an underwater image ...
Xiaofeng CONG, Jie GUI, Jun ZHANG
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Underwater Image Enhancement Based on Adaptive Color Correction and Improved Retinex Algorithm
IEEE Access, 2023 In order to solve the problems about color distortion and low contrast of underwater images, we propose an underwater image enhancement algorithm that combines adaptive color correction with improved Retinex algorithm.
Shijie Lin +4 more
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Underwater Image Enhancement using GAN
International Journal of Innovative Science and Research Technology (IJISRT), 2023 The process of enhancing the distorted underwater images to clear image is known as Underwater image enhance- ment. Distorted images are the raw underwater images that taken from the deep portion of ocean, river etc by using different cameras. In general underwater images are mainly used in underwater robotics, ocean pasture and environmental monitor ...
Sabnam Jebin C., Rahamathulla K
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