Results 21 to 30 of about 919 (135)

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

Control parameters for retinex [PDF]

open access: yesSPIE Proceedings, 2002
The recently published Matlab implementation of the retinex algorithm has free parameters for the user to specify. The parameters include the number of iterations to perform at each spatial scale, the viewing angle, image resolution, and the lookup table function (post-lut) to be applied upon completion of the main retinex computation. These parameters
Brian V. Funt, Florian Ciurea
openaire   +1 more source

Seeing Through Scattering With Computational Advances: A Review

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

open access: yesCAAI 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

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

open access: yesHigh 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   +5 more
wiley   +1 more source

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

open access: yesAdvanced 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   +7 more
wiley   +1 more source

On the Duality Between Retinex and Image Dehazing [PDF]

open access: yes2018 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   +4 more
openaire   +5 more sources

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Global Advances in Hepatocellular Carcinoma Research and Therapy in 2025

open access: yesCancer Innovation, Volume 5, Issue 2, April 2026.
This review summarizes key breakthrough advances in hepatocellular carcinoma (HCC) reported in 2025 and presents a multidisciplinary management framework for HCC, integrating early diagnosis, microenvironment insights, and comprehensive therapeutic strategies spanning minimally invasive surgery, locoregional interventions, and systemic pharmacotherapy.
Bo Hu, Qiang Gao
wiley   +1 more source

Assessing the effectiveness of texture and color enhancement imaging versus white‐light endoscopy in detecting gastrointestinal lesions: A systematic review and meta‐analysis

open access: yesDEN Open, Volume 6, Issue 1, April 2026.
Abstract Introduction Gastrointestinal cancers account for 26% of cancer incidence and 35% of cancer‐related deaths globally. Early detection is crucial but often limited by white light endoscopy (WLE), which misses subtle lesions. Texture and color enhancement imaging (TXI), introduced in 2020, enhances texture, brightness, and color, addressing WLE's
Muhammad Shahzil   +10 more
wiley   +1 more source

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