Results 61 to 70 of about 1,389 (179)

YOLO‐O: An Improved YOLO‐Based Framework for Vehicle Detection

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This study proposes a YOLO‐O model, based on YOLOv7, for improved detection of tiny vehicles on roads. Enhancements like residual networks, Squeeze and Excitation Network (SENet), coordinate attention, and SIoU regression loss boost precision, especially for small objects.
Rabbia Mahum, Usama Irshad, Ahmed M. El‐Sherbeeny, Mohammad Shehab, Seongkwan Mark Lee   +4 more
wiley   +1 more source

IMPLEMENTASI METODE RETINEX UNTUK PENCERAHAN CITRA

Jurnal Informatika, 2009
Data atau informasi tidak hanya disajikan dalam bentuk teks, tetapi juga dapat berupa gambar, audio, dan video. Citra/gambar mempunyai karakteristik yang tidak dimiliki oleh teks, yaitu citra kaya dengan informasi.
Murinto Murinto, Eko Aribowo, Elena Yustina   +2 more
doaj   +1 more source

Mean‐Local Binary Pattern‐Guided Multi‐Attention Network for Low‐Light Image Enhancement

IET Image Processing, Volume 20, Issue 1, January/December 2026.
Low‐light image enhancement struggles with noise amplification, residual dark areas, artefacts and detail loss. This paper presents the MGA‐LLIEN network, which uses M‐LBP for adaptive brightness adjustment and detail recovery while reducing noise and outperforms leading methods in tests. ABSTRACT Low‐light image enhancement faces key challenges: noise
Binxin Tang, Xianchun Zhou, Jiewen Tian, Mengnan Lv, Ying Zhang   +4 more
wiley   +1 more source

Variational Retinex model based on an extension of TV regularization with relative gradient and its application

Tongxin xuebao, 2017
In view of the shortcomings of the total variational Retinex model which use the total variation (TV) of the reflection as the regularization.An extension of TV regularization with the concept of relative gradient was introduced and finally a new ...
Ning ZHI, Shan-jun MAO, Mei LI
doaj   +2 more sources

LCH‐Net: A Lightweight OKLCH‐Space Decoupling Network for Archival Image Enhancement

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This study puts forward the LCH‐Net framework. This method processes lightness, chroma and hue separately in the OKLCH colour space: the lightness adjustment sub‐network adaptively regulates illumination via a learnable lightness curve; the chroma adjustment sub‐network combines frequency‐domain and spatial‐domain denoising to suppress noise while ...
Liyang Yu, Ruilin Deng, Huaying Liu
wiley   +1 more source

Effective color correction method employing HSV color model

Journal of Measurement Science and Instrumentation, 2012
This paper suggests a new algorithm to solve problems of the current retinex algorithm such as distortion of grey out and color noise due to the individual treatment of RGB channel and log function,and halo effect occurred by use of the Gaussian filter ...
Jae-hyoung YU1, Young-tak KIM1, Nam-ki LEE1, Young-sun TCHOI2, Hern-soo HAHN1   +4 more
doaj  

RailNet: Railway Track Anomaly Detection via Image Processing With Hybrid Deep Learning Techniques

IET Image Processing, Volume 20, Issue 1, January/December 2026.
Our model leverages a DenseNet121 backbone combined with advanced neural network layers to achieve high accuracy in identifying and classifying track defects. The dataset, consisting of images of railway tracks with and without faults, was rigorously augmented to enhance model robustness.
Umair Saeed, Muhammad Waqas, Asghar Ali Shah, Asif Ali Laghari, Ahmad Almadhor, Natalia Kryvinska, Ruqiya Rajab, Rashid Ali Laghari, Sumaira Kausar   +8 more
wiley   +1 more source

Experiments on the White Patch Retinex in RGB and CIELAB color spaces

Acta Universitaria, 2012
La constancia de color es un proceso importante en una variedad de tareas de visión. La mayoría de los dispositivos para la captura de imágenes operan en el espacio de color RGB y, por lo general, el procesamiento de las imágenes es en este espacio ...
Jonathan Cepeda-Negrete, Raul E. Sanchez-Yanez   +1 more
doaj  

A Novel Low-Illumination Image Enhancement Method Based on Convolutional Neural Network with Retinex Theory

Applied Sciences
Low-illumination images can seriously affect or even limit the performance of the human eye or a computer vision system, making image enhancement processing necessary.
Haixia Mao, Wei Peng, Yan Tian, Xiaochun Zhu   +3 more
doaj   +1 more source

Multi-channel low-light image enhancement method based on global robust Retinex model

Shenzhen Daxue xuebao. Ligong ban
In response to the issues where existing illumination enhancement methods ignore the changes in hue and saturation under different lighting conditions, resulting in the loss of excessive detail information while suppressing noise, we propose a global ...
WU Hanning, YI Jizheng, LI Xiaoyao, LI Sijia   +3 more
doaj   +1 more source