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Underwater image enhancement via LBP‐based attention residual network [PDF]
IET Image Processing, 2021 Owing to the influence of light absorption and scattering in underwater environments, underwater images exhibit color deviation, low contrast and detail blur, and other degradations.
Zhixiong Huang, Jinjiang Li, Zhen Hua
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A Survey of Restoration and Enhancement for Underwater Images [PDF]
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 factors seriously.
Weidong Zhang 0007 +5 more
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Diving deeper into underwater image enhancement: A survey [PDF]
Signal Processing: Image Communication, 2020 The powerful representation capacity of deep learning has made it inevitable for the underwater image enhancement community to employ its potential. The exploration of deep underwater image enhancement networks is increasing over time, and hence; a comprehensive survey is the need of the hour.
Saeed Anwar, Chongyi Li
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An underwater image enhancement model for domain adaptation [PDF]
Frontiers in Marine Science, 2023 Underwater imaging has been suffering from color imbalance, low contrast, and low-light environment due to strong spectral attenuation of light in the water.
Xiwen Deng +5 more
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U-Shape Transformer for Underwater Image Enhancement
IEEE Transactions on Image Processing, 2023 under ...
Chunli Zhu, Liheng Bian
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A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network. [PDF]
Biomimetics (Basel), 2023 Continuous exploration of the ocean has made underwater image processing an important research field, and plenty of CNN (convolutional neural network)-based underwater image enhancement methods have emerged over time.
Chen Y +6 more
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A Novel Lightweight Model for Underwater Image Enhancement. [PDF]
Sensors (Basel)Underwater images suffer from low contrast and color distortion. In order to improve the quality of underwater images and reduce storage and computational resources, this paper proposes a lightweight model Rep-UWnet to enhance underwater images. The model consists of a fully connected convolutional network and three densely connected RepConv blocks in ...
Liu B, Yang Y, Zhao M, Hu M.
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Enhancement of Underwater Images [PDF]
International Journal of Engineering Research and, 2020 Underwater photography becomes an important research area in Ocean Engineering, Computer Graphics and Surveillance. But underwater images appear blue-green and hazy since the longer wavelength of sunlight cannot penetrate deep in the water due to salinity and high concentration of dissolve impurities in the seawater.
Vivek Sharma, Rakesh Verma
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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 0009 +2 more
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Lighting the darkness in the sea: A deep learning model for underwater image enhancement
Frontiers 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
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