UMGAN: Underwater image enhancement network for unpaired image-to-image translation

B Sun, Y Mei, N Yan, Y Chen - Journal of Marine Science and …, 2023 - mdpi.com
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 …

Syreanet: A physically guided underwater image enhancement framework integrating synthetic and real images

J Wen, J Cui, Z Zhao, R Yan, Z Gao… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Underwater image enhancement (UIE) is vital for high-level vision-related underwater tasks.
Although learning-based UIE methods have made remarkable achievements in recent …

Vision-based environment perception and autonomous obstacle avoidance for unmanned underwater vehicle

P Yao, X Sui, Y Liu, Z Zhao - Applied Ocean Research, 2023 - Elsevier
We propose two schemes to solve the problems of visual perception delay and limited
obstacle avoidance capability in the autonomous navigation of unmanned underwater …

DGD-cGAN: A dual generator for image dewatering and restoration

S Gonzalez-Sabbagh, A Robles-Kelly, S Gao - Pattern Recognition, 2024 - Elsevier
Underwater images are usually covered with a blue–greenish colour cast, making them
distorted, blurry or low in contrast. This phenomenon occurs due to the light attenuation …

ChromoEnhancer: An artificial-intelligence-based tool to enhance neoplastic karyograms as an aid for effective analysis

Y Bokhari, A Alhareeri, A Aljouie, A Alkhaldi, M Rashid… - Cells, 2022 - mdpi.com
Cytogenetics laboratory tests are among the most important procedures for the diagnosis of
genetic diseases, especially in the area of hematological malignancies. Manual …

Unsupervised underwater image restoration via Koschmieder model disentanglement

S Zhang, D An, D Li, R Zhao - Expert Systems with Applications, 2025 - Elsevier
Most deep learning-based underwater image enhancement approaches rely on paired
underwater datasets. Given the scarcity of real-world paired datasets and the inadequacy of …

[HTML][HTML] SE-RRACycleGAN: Unsupervised Single-Image Deraining Using Squeeze-and-Excitation-Based Recurrent Rain-Attentive CycleGAN

GN Wedajew, SSD Xu - Remote Sensing, 2024 - mdpi.com
In computer vision tasks, the ability to remove rain from a single image is a crucial element to
enhance the effectiveness of subsequent high-level tasks in rainy conditions. Recently …

[HTML][HTML] Unsupervised image-to-image translation to reduce the annotation effort for instance segmentation of field vegetables

N Lüling, J Straub, A Stana, D Reiser, J Clar… - Smart Agricultural …, 2024 - Elsevier
Due to the constantly increasing shortage of labour availability in the agricultural sector,
automation is on the rise. This trend is particularly evident in field vegetable production …

Two-stage underwater image enhancement using domain adaptation and interlacing transformer

H Lee, S Kang - Displays, 2025 - Elsevier
Underwater images typically suffer from quality defects such as impurities, light scattering,
absorption, color casts, etc. Various underwater image enhancement (UIE) techniques …

Enhanced YOLOv10 Framework Featuring DPAM and DALSM for Real-Time Underwater Object Detection

S Sriram, P Aburvan, TPA Kaarthic, V Nivethitha… - IEEE …, 2025 - ieeexplore.ieee.org
Recently, spotting underwater objects has been increasingly difficult due to the complexities
of marine environments and varied visibility conditions. YOLOv10 is notable for its effective …