Five A Network: You Only Need 9K Parameters for Underwater Image Enhancement

J Jiang, T Ye, J Bai, S Chen, W Chai, S Jun… - arXiv preprint arXiv …, 2023 - arxiv.org
A lightweight underwater image enhancement network is of great significance for resource-
constrained platforms, but balancing model size, computational efficiency, and …

Underwater Organism Color Fine-Tuning via Decomposition and Guidance

X Cong, J Gui, J Hou - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
Due to the wavelength-dependent light attenuation and scattering, the color of the
underwater organism usually appears distorted. The existing underwater image …

A Comprehensive Survey on Underwater Image Enhancement Based on Deep Learning

X Cong, Y Zhao, J Gui, J Hou, D Tao - arXiv preprint arXiv:2405.19684, 2024 - arxiv.org
Underwater image enhancement (UIE) is a challenging research task in the field of
computer vision. Although hundreds of UIE algorithms have been proposed, a …

MambaUIE&SR: Unraveling the Ocean's Secrets with Only 2.8 FLOPs

Z Chen, Y Ge - arXiv preprint arXiv:2404.13884, 2024 - arxiv.org
Underwater Image Enhancement (UIE) techniques aim to address the problem of
underwater image degradation due to light absorption and scattering. In recent years, both …

Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview

Z Zheng, B Xiao - arXiv preprint arXiv:2312.00250, 2023 - arxiv.org
Currently, to further improve visual enjoyment, Ultra-High-Definition (UHD) images are
catching wide attention. Here, UHD images are usually referred to as having a resolution …

MixNet: Towards Effective and Efficient UHD Low-Light Image Enhancement

C Wu, Z Zheng, X Jia, W Ren - arXiv preprint arXiv:2401.10666, 2024 - arxiv.org
With the continuous advancement of imaging devices, the prevalence of Ultra-High-
Definition (UHD) images is rising. Although many image restoration methods have achieved …

CFENet: Cost-effective underwater image enhancement network via cascaded feature extraction

X Ji, X Wang, LY Hao, CT Cai - Engineering Applications of Artificial …, 2024 - Elsevier
Due to the inevitable light absorption and scattering, underwater images always suffer from
severe quality degradation, leading to significant performance decline for various maritime …

Fsnet: Frequency domain guided superpixel segmentation network for complex scenes

H Li, J Liang, W Li, W Wu - Proceedings of the 31st ACM International …, 2023 - dl.acm.org
Existing superpixel segmentation algorithms mainly focus on natural image with high-
quality, while neglecting the inevitable environment constraint in complex scenes. In this …

LPS-Net: Lightweight Parallel Strategy Network for Underwater Image Enhancement

J Jiang, P Huang, L Tong, J Yin, E Chen - Applied Sciences, 2023 - mdpi.com
Underwater images are frequently subject to color distortion and loss of details. However,
previous enhancement methods did not tackle these mixed degradations by dividing them …

FDCE-Net: Underwater Image Enhancement with Embedding Frequency and Dual Color Encoder

Z Cheng, G Fan, J Zhou, M Gan, CL Chen - arXiv preprint arXiv …, 2024 - arxiv.org
Underwater images often suffer from various issues such as low brightness, color shift,
blurred details, and noise due to light absorption and scattering caused by water and …