Results 51 to 60 of about 3,246 (209)

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, Volume 8, Issue 7, July 2026.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Visual simultaneous localization and mapping algorithm of coal mine underground considering image enhancement

Gong-kuang zidonghua, 2023
The visual simultaneous localization and mapping (SLAM) algorithm based on the feature point method has certain applications in coal mines. However, due to factors such as uneven lighting, variable lighting, and alternating light and dark areas, the ...
FENG Wei, YAO Wanqiang, LIN Xiaohu, ZHENG Junliang, XIANGLI Hailong, XUE Zhiqiang   +5 more
doaj   +1 more source

Seeing Through Scattering With Computational Advances: A Review

Advanced Photonics Research, Volume 7, Issue 6, June 2026.
In scattering media, light scrambles into random speckles and impedes our vision. Unlocking hidden information enables breakthroughs to see behind the opaqueness, inspiring applications in imaging, communication, and encryption. Unlike clear media such as clear water and air, a scattering medium is inhomogeneous, in which propagating photons are ...
Huanhao Li, Kai Chen, Xueli Chen, Puxiang Lai, Zhipeng Yu   +4 more
wiley   +1 more source

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

CAAI Transactions on Intelligence Technology, Volume 11, Issue 3, Page 709-725, June 2026.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

An End-to-End Underwater-Image-Enhancement Framework Based on Fractional Integral Retinex and Unsupervised Autoencoder

Fractal and Fractional, 2023
As an essential low-level computer vision task for remotely operated underwater robots and unmanned underwater vehicles to detect and understand the underwater environment, underwater image enhancement is facing challenges of light scattering, absorption,
Yang Yu, Chenfeng Qin
doaj   +1 more source

On the Duality Between Retinex and Image Dehazing [PDF]

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog. Retinex is a color vision model mimicking the ability of the Human Visual System to robustly discount varying illuminations when observing a scene under different spectral lighting conditions.
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío   +4 more
openaire   +5 more sources

Image Restoration Algorithm and Propagation Mechanism of Partial Discharge Streamer in Oil–Pressboard Insulation Needle–Plate Electrode

High Voltage, Volume 11, Issue 3, Page 784-796, June 2026.
ABSTRACT Oil–pressboard system is the main insulation form of oil‐immersed transformers, which is prone to partial discharge (PD) and subsequent faults due to contamination or moisture ingress. To investigate the evolutionary characteristics of PD streamers under varying voltages and insulation dimensions, streamer images were captured using a high ...
Luyao Liu, Hongshun Liu, Ali Mohammed Ali Abdo, Hongbin Wu, Pengfei Lu, Qingquan Li   +5 more
wiley   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

A coal mine underground image enhancement method based on multi-scale gradient domain guided image filtering

Gong-kuang zidonghua
There are serious issues with uneven lighting and noise interference in coal mine underground images. The existing Retinex based methods are directly applied to enhance coal mine underground images, which are prone to problems such as halo artifacts ...
MU Qi, GE Xiangfu, WANG Xinyue, LI Lei, LI Zhanli   +4 more
doaj   +1 more source

Deformable Attention Multiscale Feature Fusion Network‐Dehaze: An Adaptive Image Dehazing Method Based on Deformable Attention Multiscale Fusion Network

Advanced Intelligent Systems, Volume 8, Issue 5, May 2026.
This paper presents the deformable attention multiscale feature fusion network‐dehaze adaptive image dehazing network, which integrates three core modules (revised residual shrinkage unit, multiscale attention, cross‐scale feature fusion). It incorporates deformable convolution and multiscale attention mechanisms to address the detail loss issue of ...
Ruipeng Wang, Yajun Chen, Hao Liu, Mingrui Li, Zhiqi Li   +4 more
wiley   +1 more source