Results 71 to 80 of about 2,730 (217)
Improved Multi-Scale Retinex Approaches for Color Image Enhancement
, 2010 In this paper, an improved multi-scale Retinex with color restoration is proposed by correcting some distortion on color rendition. By using the proposed method, results of image enhancement are obtained and compared further with those acquired by ...
Feng Su, Wu Jing Li, Min Yun Zhu
core +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 +4 more
doaj
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
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 +1 more
doaj
Applied SciencesLow-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 +3 more
doaj +1 more source
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 +8 more
wiley +1 more source
Illumination compensation for face image using retinex method based on bilateral filtering
, 2010 Illumination variation is one of the critical factors affecting face recognition rate. In the paper, we propose a novel Retinex method based on bilateral filtering to compensate the illumination for face image.
Yang DW(杨大为), Tang YD(唐延东)
core
Shadow Detection and Removal from Solo Natural Image Based on Retinex Theory
, 2008 Shadows are physical phenomena observed in most natural scenes. They can cause many problems in computer vision performance. The paper addresses the problem of shadow detection and removal from solo image of natural scenes. Our method is based on Retinex
Du YK(杜英魁) +2 more
core
Multi-channel low-light image enhancement method based on global robust Retinex model
Shenzhen Daxue xuebao. Ligong banIn 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 +3 more
doaj +1 more source
Fast Retinex Image Enhancement Using CUDA [PDF]
, 2020 Image enhancement is an important preliminary step in many digital image processing and applications and Retinex algorithm is one of the commonly used algorithm to enhance the image with uneven illumination condition.
アイカワ, マサル +13 more
core