TFCNet: A Hybrid Architecture for Multi-Task Restoration of Complex Underwater Optical Images
Underwater optical images are crucial in marine exploration. However, capturing these images directly often results in color distortion, noise, blurring, and other undesirable effects, all of which originate from the unique physical and chemical ...
Shengya Zhao +4 more
doaj +1 more source
Lightweight Multi-Scale CNN-Based Underwater Image Enhancement Algorithm and Edge Deployment
This paper proposed a lightweight multi-scale convolutional neural network(CNN)-based underwater image enhancement algorithm to address the problems of noise interference, texture blur, color distortion, and high computational complexity and long time ...
Jun ZHANG, Fan LUO, Zheng YUAN
doaj +1 more source
Underwater image restoration via attenuated incident optical model and background segmentation
Underwater images typically exhibit low quality due to complex imaging environments, which impede the development of the Space-Air-Ground-Sea Integrated Network (SAGSIN).
Sen Lin, Yuanjie Sun, Ning Ye
doaj +1 more source
Deep Dynamic Weights for Underwater Image Restoration
Underwater imaging presents unique challenges, notably color distortions and reduced contrast due to light attenuation and scattering. Most underwater image enhancement methods, first use linear transformations for color compensation and then enhance the image.
Hafiz Shakeel Ahmad Awan +1 more
openaire +2 more sources
AFM and pulsed laser ablation methods for Cultural Heritage: application to archeometric analysis of stone artifacts [PDF]
Antici, Patrizio +5 more
core +1 more source
Multi-scale diffusion model for underwater image restoration and enhancement. [PDF]
Fang Y, Li Q, Wang K.
europepmc +1 more source
A cutting-edge ensemble model for enhanced underwater image restoration and quality improvement. [PDF]
Sarala A, Vinoth Kumar C.
europepmc +1 more source
Progressive Multi-Scale Perception Network for Non-Uniformly Blurred Underwater Image Restoration. [PDF]
Kong D, Zhang Y, Zhao X, Wang Y, Wang Y.
europepmc +1 more source
RT-CBAM: Refined Transformer Combined with Convolutional Block Attention Module for Underwater Image Restoration. [PDF]
Ye R, Qian Y, Huang X.
europepmc +1 more source
Underwater image restoration based on dual information modulation network. [PDF]
Wang L +5 more
europepmc +1 more source

