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Underwater Image Enhancement Based on Hybrid Enhanced Generative Adversarial Network
Journal of Marine Science and Engineering, 2023 In recent years, underwater image processing has played an essential role in ocean exploration. The complexity of seawater leads to the phenomena of light absorption and scattering, which in turn cause serious image degradation problems, making it ...
Danmi Xu +3 more
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Multiscale Fusion for Underwater Image Enhancement
International Journal of Emerging Research in Engineering, Science, and Management, 2022 In this paper, an enhancement scheme on underwater images is proposed. Underwater images undergo efforts like scattering and attenuation. Many techniques are proposed for underwater image and enhancement that largely depends on the features and ...
Kunisetty Sivanihimaja, E Sasikala Reddy
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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 Using MIRNet
Journal of Electronic & Information Systems, 2023 In recent years, enhancement of underwater images is a challenging task, which is gaining priority since the human eye cannot perceive images under water. The significant details underwater are not clearly captured using the conventional image acquisition techniques, and also they are expensive. Hence, the quality of the image processing algorithms can
Thamarai Muthusamy +3 more
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Comparison of GAN Deep Learning Methods for Underwater Optical Image Enhancement
한국해양공학회지, 2022 Underwater optical images face various limitations that degrade the image quality compared with optical images taken in our atmosphere. Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast ...
Hong-Gi Kim, Jung-Min Seo, Soo Mee Kim
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Automatic System for Improving Underwater Image Contrast and Color Through Recursive Adaptive Histogram Modification [PDF]
, 2017 Contrast and color are important attributes to extract and acquire much information from underwater images. However, normal underwater images contain bright foreground and dark background areas.
Ahmad Shahrizan, Abdul Ghani +1 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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UMGAN: Underwater Image Enhancement Network for Unpaired Image-to-Image Translation
Journal of Marine Science and Engineering, 2023 Due to light absorption and scattering underwater images suffer from low contrast, color distortion, blurred details, and uneven illumination, which affect underwater vision tasks and research.
Boyang Sun +3 more
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Analisa Peningkatan Kualitas Citra Bawah Air Berbasis Koreksi Gamma Dan Histogram Equalization [PDF]
, 2016 Underwater image of water quality in the dark, it depends on the depth of water at the time of image acquisition or image. The results of the image quality is adversely affecting the results matching the image pairs underwater with SIFT algorithm.
Andono, P. N. (Pulung) +2 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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