Results 31 to 40 of about 12,076,156 (282)
IET Image Processing, 2022 Underwater images usually suffer from colour distortion, blur, and low contrast, which hinder the subsequent processing of underwater information. To address these problems, this paper proposes a novel approach for single underwater images enhancement by
Zhenghao Shi +3 more
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Underwater image enhancement with Image Colorfulness Measure
CoRR, 2020 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.
Hui Li +3 more
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Domain Adaptation for Underwater Image Enhancement
IEEE Transactions on Image Processing, 2023 Recently, learning-based algorithms have shown impressive performance in underwater image enhancement. Most of them resort to training on synthetic data and achieve outstanding performance. However, these methods ignore the significant domain gap between the synthetic and real data (i.e., interdomain gap), and thus the models trained on synthetic data ...
Zhengyong Wang +5 more
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Underwater image enhancement with latent consistency learning‐based color transfer
IET Image Processing, 2022 Due to the inevitable wavelength‐dependent light absorption and forward/backward scattering, underwater images usually suffer severe color distortion and are hazy.
Hua Yang +4 more
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Deep Underwater Image Enhancement
CoRR, 2018 In an underwater scene, wavelength-dependent light absorption and scattering degrade the visibility of images, causing low contrast and distorted color casts. To address this problem, we propose a convolutional neural network based image enhancement model, i.e., UWCNN, which is trained efficiently using a synthetic underwater image database. Unlike the
Saeed Anwar, Chongyi Li, Fatih Porikli
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Effective solution for underwater image enhancement
Optics Express, 2021 Degradation of underwater images severely limits people to exploring and understanding underwater world, which has become a fundamental but vital issue needing to be addressed in underwater optics. In this paper, we develop an effective solution for underwater image enhancement.
Ye Tao, Lili Dong, Luqiang Xu, Wenhai Xu
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Thermal Image Enhancement using Bi-dimensional Empirical Mode Decomposition in Combination with Relevance Vector Machine for Rotating Machinery Fault Diagnosis [PDF]
, 2009 In this study, a novel fault diagnosis system for rotating machinery using thermal imaging is proposed. This system consists of bi-dimensional empirical mode decomposition (BEMD) for image enhancement, a generalized discriminant analysis (GDA) for ...
Yang, Bo-Suk +7 more
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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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Image-Conditional Diffusion Transformer for Underwater Image Enhancement [PDF]
Underwater image enhancement (UIE) has attracted much attention owing to its importance for underwater operation and marine engineering. Motivated by the recent advance in generative models, we propose a novel UIE method based on image-conditional diffusion transformer (ICDT).
Xingyang Nie +7 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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