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Underwater image quality optimization: Researches, challenges, and future trends
Underwater images serve as crucial mediums for conveying marine information.
Nevertheless, due to the inherent complexity of the underwater environment, underwater …
Nevertheless, due to the inherent complexity of the underwater environment, underwater …
HCLR-Net: hybrid contrastive learning regularization with locally randomized perturbation for underwater image enhancement
Underwater image enhancement presents a significant challenge due to the complex and
diverse underwater environments that result in severe degradation phenomena such as light …
diverse underwater environments that result in severe degradation phenomena such as light …
A comprehensive survey on underwater image enhancement based on deep learning
LiteEnhanceNet: A lightweight network for real-time single underwater image enhancement
In recent years, the field of underwater image enhancement has evolved from physics-based
approaches to various neural network-based methods, all of which have achieved promising …
approaches to various neural network-based methods, all of which have achieved promising …
GR-PSN: Learning to estimate surface normal and reconstruct photometric stereo images
In this paper, we propose a novel method, namely GR-PSN, which learns surface normals
from photometric stereo images and generates the photometric images under distant …
from photometric stereo images and generates the photometric images under distant …
UIEDP: Boosting underwater image enhancement with diffusion prior
D Du, E Li, L Si, W Zhai, F Xu, J Niu, F Sun - Expert Systems with …, 2025 - Elsevier
Underwater image enhancement (UIE) aims to generate clear images from low-quality
underwater images. Due to the unavailability of clear reference images, researchers often …
underwater images. Due to the unavailability of clear reference images, researchers often …
Underwater image enhancement via multi-scale fusion and adaptive color-gamma correction in low-light conditions
D Zhang, Z He, X Zhang, Z Wang, W Ge, T Shi… - … Applications of Artificial …, 2023 - Elsevier
In dark underwater areas, existing single-model underwater image enhancement methods
have poor enhancement effects. We propose an underwater image enhancement method …
have poor enhancement effects. We propose an underwater image enhancement method …
Synergistic multiscale detail refinement via intrinsic supervision for underwater image enhancement
Visually restoring underwater scenes primarily involves mitigating interference from
underwater media. Existing methods ignore the inherent scale-related characteristics in …
underwater media. Existing methods ignore the inherent scale-related characteristics in …