A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network [PDF]
Biomimetics, 2023 Continuous exploration of the ocean has made underwater image processing an important research field, and plenty of CNN (convolutional neural network)-based underwater image enhancement methods have emerged over time.
Yuhan Chen +6 more
doaj +3 more sources
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.
Saeed Anwar, Chongyi Li
exaly +5 more sources
A Survey of Restoration and Enhancement for Underwater Images [PDF]
IEEE Access, 2019 Images captured underwater usually suffer from color distortion, detail blurring, low contrast, and a bluish or greenish tone due to light scattering and absorption in the underwater medium, which in turn the visibility is adversely affected by these ...
Weidong Zhang +5 more
doaj +2 more sources
Benchmarking Underwater Image Enhancement and Restoration, and Beyond
IEEE Access, 2020 Image enhancement and restoration is among the most investigated topics in the field of underwater machine vision. The objective image quality assessment is a fundamental part of optimizing underwater enhancement and restoration technologies.
Guojia Hou +5 more
doaj +3 more sources
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
doaj +2 more sources
An In-Depth Survey of Underwater Image Enhancement and Restoration
IEEE Access, 2019 Images taken under water usually suffer from the problems of quality degradation, such as low contrast, blurring details, color deviations, non-uniform illumination, etc.
Miao Yang +5 more
doaj +3 more sources
U-Shape Transformer for Underwater Image Enhancement
IEEE Transactions on Image Processing, 2023 under ...
Chunli Zhu, Liheng Bian
exaly +7 more sources
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
doaj +3 more sources
An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network [PDF]
Sensors, 2023 This paper presents an efficient underwater image enhancement method, named ECO-GAN, to address the challenges of color distortion, low contrast, and motion blur in underwater robot photography. The proposed method is built upon a preprocessing framework
Xiao Jiang +6 more
doaj +2 more sources
Unveiling the hidden depths: advancements in underwater image enhancement using deep learning and auto-encoders [PDF]
PeerJ Computer ScienceUnderwater images hold immense value for various fields, including marine biology research, underwater infrastructure inspection, and exploration activities. However, capturing high-quality images underwater proves challenging due to light absorption and
Jaisuraj Bantupalli +3 more
doaj +3 more sources