Underwater Image Restoration Based on Adaptive Color Compensation and Dual Transmission Estimation
IEEE Access, 2020 Visibility restoration of an underwater image degraded by turbid water (due to scattering, absorption, and reflection) is a challenging task which requires careful design of computational imaging methods.
Yingbo Wang +4 more
doaj +1 more source
Single Underwater Image Restoration by Contrastive Learning [PDF]
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021 Underwater image restoration attracts significant attention due to its importance in unveiling the underwater world. This paper elaborates on a novel method that achieves state-of-the-art results for underwater image restoration based on the unsupervised image-to-image translation framework.
Junlin Han +8 more
openaire +4 more sources
Unsupervised Underwater Image Restoration: From a Homology Perspective
, 2022 Underwater images suffer from degradation due to light scattering and absorption. It remains challenging to restore such degraded images using deep neural networks since real-world paired data is scarcely available while synthetic paired data cannot ...
Huang, Yue +13 more
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Underwater image enhancement using adaptive color restoration and dehazing
, 2022 Underwater images captured by optical cameras can be degraded by light attenuation and scattering, which leads to deteriorated visual image quality.
Y Liu (4702669) +6 more
core +5 more sources
Underwater Polarization Imaging Recovery Based on Polarimetric Residual Dense Network
IEEE Photonics Journal, 2022 Application of deep-learning to polarization imaging technology for image restoration has led to many technological breakthroughs, especially in underwater image recovery and recognition.
Yanfa Xiang +6 more
doaj +1 more source
Review of underwater image restoration algorithms
IET Image Processing, 2019 Underwater images are susceptible to various distortions compared to images taken on land, due to the nature of the water environment. These images often suffer from diffraction, polarisation, absorption, scattering, colour loss and attenuation of light.
Jarina Raihan A +2 more
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Automatic restoration of underwater monocular sequences of images [PDF]
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015 Underwater environments present a considerable challenge for computer vision, since water is a scattering medium with substantial light absorption characteristics which is made even more severe by turbidity. This poses significant problems for visual underwater navigation, object detection, tracking and recognition. Previous works tackle the problem by
Paulo Drews Jr. +3 more
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A self-adaptive single underwater image restoration algorithm for improving graphic quality
EURASIP Journal on Image and Video Processing, 2020 A high-quality underwater image is essential to many industrial and academic applications in the field of image processing and analysis. Unfortunately, underwater images frequently demonstrate poor visual quality of low contrast, blurring, darkness, and ...
Herng-Hua Chang +3 more
doaj +1 more source
Multi‐cues underwater image restoration algorithm combined with light field technology
IET Image Processing, 2023 Underwater images suffer from color distortion, low clarity and halos problems due to light absorption, particle scattering and non‐uniform illumination.
Xudong Zhang +4 more
doaj +1 more source
Underwater Image Clarification Based on Double-Opponency Light Estimation and Red Channel Prior
IEEE Access, 2023 Underwater images typically exhibit color bias and low contrast resulting from the absorption and scattering effects of light propagating in water.
Jing Qian, Bin Kong, Jing Yang
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