This study proposes Combining Attention and Brightness Adjustment Network (CABA-Net), a deep learning network for underwater image restoration, to address the issues of underwater image color-cast, low brightness, and low contrast.
Jianhua Zheng +6 more
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Underwater Single-Image Restoration with Transmission Estimation Using Color Constancy
The issue of underwater image restoration was investigated in this paper. Specifically, the color constancy of a single image was used to estimate the transmission map (TM), which can be used in the image formation model to restore the underwater image ...
Wenbo Zhang, Weidong Liu, Le Li
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Underwater Image Restoration Method Based on Multi-Frame Image under Artificial Light Source
This paper studies the underwater image restoration problem in autonomous operation of AUV guided by underwater visual. An improved underwater image restoration method is developed based on multi-frame neighboring images under artificial light source. At
Tianchi Zhang +3 more
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Underwater Optical Image Restoration Method for Natural/Artificial Light
This paper investigates the underwater optical image restoration method under the background of underwater target detection based on optical vision in AUVs.
Tianchi Zhang +3 more
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A Review on Image Enhancement and Restoration Techniques for Underwater Optical Imaging Applications
Underwater image processing always a challenging problem in oceanic engineering applications. Images captured in underwater are commonly suffers due to color distortion, detail blur, bluish or greenish tone, and low contrast to light scattering and ...
N. Deluxni +3 more
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Underwater image restoration with Haar wavelet transform and ensemble of triple correction algorithms using Bootstrap aggregation and random forests [PDF]
This paper presents both a new strategy for traditional underwater image restoration using Haar wavelet transform as well as a new learned model that generates an ensemble of triple correction algorithm labels based on histogram quadrants’ cumulative ...
Vahid Rowghanian
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Research on Underwater Image Restoration Technology Based on Multi-Domain Translation
Underwater images are crucial in various underwater applications, including marine engineering, underwater robotics, and subsea coral farming. However, obtaining paired data for these images is challenging due to factors such as light absorption and ...
Teng Xue, Tianchi Zhang, Jing Zhang
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Underwater Image Enhancement via Multiple-Enhanced-Layers Fusion and Transmission-Driven Color Restoration [PDF]
Underwater images captured by sensors suffer from low contrast and blurry details due to the interference of light absorption and scattering in underwater scenes. Good visibility restoration is often desired for practical processing applications. Current
Zhengmao Li +3 more
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A Review of Underwater Image Enhancement and Restoration Techniques Based on Gan [PDF]
In recent years, underwater image enhancement and restoration technology have significantly contributed to the efficiency of marine operations and the advancement of seabed resource development, which carries substantial academic significance and ...
Zhao Xin
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Adaptive fusion based deep learning framework for restoring underwater image quality using multi scale attention features [PDF]
Images captured underwater often encounter quality degradation issues, such as blurring of details, low contrast, non-uniform illumination, and colour deviations.
T. Veeramakali +2 more
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