Results 71 to 80 of about 1,383 (181)
IMPLEMENTASI METODE RETINEX UNTUK PENCERAHAN CITRA
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 +2 more
doaj +1 more source
Mean‐Local Binary Pattern‐Guided Multi‐Attention Network for Low‐Light Image Enhancement
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 +4 more
wiley +1 more source
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
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
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
RailNet: Railway Track Anomaly Detection via Image Processing With Hybrid Deep Learning Techniques
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
Experiments on the White Patch Retinex in RGB and CIELAB color spaces
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
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 +3 more
doaj +1 more source
Multi-channel low-light image enhancement method based on global robust Retinex model
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 +3 more
doaj +1 more source
In order to improve the working efficiency of robot promptly picking ripe apples, the harvesting robot must have the ability of continuous recognition and operation at night. Nighttime apple image has many dark spaces and shadows with low resolution, and
Ji Wei, Qian Zhijie, Xu Bo, Zhao Dean
doaj +1 more source

