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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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A Review on Underwater Image Enhancement
International Journal of Scientific Research in Science, Engineering and Technology, 2020 While capturing underwater image there are lot of imposed due to low light, light variation, poor visibility. Photography is about light, but since water has an a lot more prominent density than air — around 800 times more noteworthy not all wavelengths of light travel similarly well inside it.
Mohammad Moiz Ashrafi +2 more
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Framework for Underwater Image Enhancement
Procedia Computer Science, 2020 Abstract In this paper, we propose a framework for enhancement of underwater images. Underwater images suffer from low-contrast, blur and non-uniform illumination resulting in poor quality images. Red color in the atmospheric light is absorbed early due to its shorter wavelength, whereas the colors like blue and green penetrate deeper into water due ...
Medha Bhat +5 more
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An Underwater Image Enhancement Benchmark Dataset and Beyond [PDF]
IEEE Transactions on Image Processing, 2020 Underwater image enhancement has been attracting much attention due to its significance in marine engineering and aquatic robotics. Numerous underwater image enhancement algorithms have been proposed in the last few years. However, these algorithms are mainly evaluated using either synthetic datasets or few selected real-world images.
Chongyi Li +6 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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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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Enhancement and Optimization of Underwater Images and Videos Mapping
Sensors, 2023 Underwater images tend to suffer from critical quality degradation, such as poor visibility, contrast reduction, and color deviation by virtue of the light absorption and scattering in water media. It is a challenging problem for these images to enhance visibility, improve contrast, and eliminate color cast.
Chengda Li +3 more
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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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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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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.
Chongyi Li, Saeed Anwar, Saeed Anwar
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