A represents the use of ordinary GAN network, B represents the use of GAN network and contrastive loss, and C represents the use of GAN network, query attention and contrastive loss.</p
Underwater Vehicles have become more sophisticated, driven by the off-shore sector and the scientifi...
Since underwater images are an important route to underwater information, underwater image enhanceme...
<p>(a) detection result of QSFLA, (b) detection result of SFLA, (c) detection result of QPSO, (d) de...
Quantitative results on synthetic underwater images in terms of SSIM, PSNR, and UIQM for UIEB datase...
Quantitative results on synthetic underwater images in terms of SSIM, PSNR, and UIQM for EUVP datase...
Quantitative results on synthetic underwater images in terms of SSIM, PSNR, and UIQM for HICRD datas...
When underwater vehicles work, underwater images are often absorbed by light and scattered and diffu...
Underwater image enhancement has drawn a lot of attention because of its significance in marine engi...
Underwater image enhancement has been receiving much attention due to its significance in facilitati...
Low illumination, light reflections, scattering, absorption, and suspended particles inevitably lead...
Underwater imaging poses unique challenges due to the adverse optical properties of water, leading t...
In recent years, enhancement of underwater images is a challenging task, which is gaining priority s...
Convolutional neural networks (CNNs) are employed to achieve the color balance and dehazing of degra...
In underwater view, the light which is dependent on wavelength incorporates and scatters the disgrac...
TERCOM, ICP and TIEM algorithms, which mathematically all apply correlation matching mode. have been...
Underwater Vehicles have become more sophisticated, driven by the off-shore sector and the scientifi...
Since underwater images are an important route to underwater information, underwater image enhanceme...
<p>(a) detection result of QSFLA, (b) detection result of SFLA, (c) detection result of QPSO, (d) de...
Quantitative results on synthetic underwater images in terms of SSIM, PSNR, and UIQM for UIEB datase...
Quantitative results on synthetic underwater images in terms of SSIM, PSNR, and UIQM for EUVP datase...
Quantitative results on synthetic underwater images in terms of SSIM, PSNR, and UIQM for HICRD datas...
When underwater vehicles work, underwater images are often absorbed by light and scattered and diffu...
Underwater image enhancement has drawn a lot of attention because of its significance in marine engi...
Underwater image enhancement has been receiving much attention due to its significance in facilitati...
Low illumination, light reflections, scattering, absorption, and suspended particles inevitably lead...
Underwater imaging poses unique challenges due to the adverse optical properties of water, leading t...
In recent years, enhancement of underwater images is a challenging task, which is gaining priority s...
Convolutional neural networks (CNNs) are employed to achieve the color balance and dehazing of degra...
In underwater view, the light which is dependent on wavelength incorporates and scatters the disgrac...
TERCOM, ICP and TIEM algorithms, which mathematically all apply correlation matching mode. have been...
Underwater Vehicles have become more sophisticated, driven by the off-shore sector and the scientifi...
Since underwater images are an important route to underwater information, underwater image enhanceme...
<p>(a) detection result of QSFLA, (b) detection result of SFLA, (c) detection result of QPSO, (d) de...
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