Results 1 to 10 of about 37,966 (163)

Framework for Illumination Estimation and Segmentation in Multi-Illuminant Scenes

IEEE Access, 2023
Color constancy is an important part of the human visual system, as it allows us to perceive the colors of objects invariant to the color of the illumination that is illuminating them.
Donik Vrsnak, Ilija Domislovic, Marko Subasic, Sven Loncaric   +3 more
doaj   +2 more sources

Low-Light Monocular Depth Estimation Algorithm Based on Illumination Adaptive Image Enhancement [PDF]

Sensors
Depth estimation in low-light scenes is an enormous challenge in the field of monocular depth estimation. Although numerous algorithms have attempted to improve their performance in low-light scenarios through a variety of techniques, the inconsistent ...
Xiaoqian Cao, Yang Wang, Wanyu Li, Weifeng Liu   +3 more
doaj   +2 more sources

Iterative Convolutional Neural Network-Based Illumination Estimation

IEEE Access, 2021
In the image processing pipelines of digital cameras, one of the first steps is to achieve invariance in terms of scene illumination, namely computational color constancy.
Karlo Koscevic, Marko Subasic, Sven Loncaric   +2 more
doaj   +3 more sources

Deep Learning-Based Illumination Estimation Using Light Source Classification

IEEE Access, 2020
Color constancy is one of the key steps in the process of image formation in digital cameras. Its goal is to process the image so that there is no influence of illumination color on the colors of objects and surfaces.
Karlo Koscevic, Marko Subasic, Sven Loncaric   +2 more
doaj   +3 more sources

Directional Illumination Estimation Sets and Multilevel Matching Metric for Illumination-Robust Face Recognition

IEEE Access, 2017
It is a challenging task to improve the performance of face recognition under complex illumination conditions. Illumination estimation-based illumination invariant extraction is widely used to alleviate the adverse effects of illumination variation on ...
Yong Cheng, Liangbao Jiao, Ying Tong, Zuoyong Li, Yong Hu, Xuehong Cao   +5 more
doaj   +3 more sources

The Cube++ Illumination Estimation Dataset

IEEE Access, 2020
Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras. One of the important parts of the computational color constancy is illumination estimation, i.e.
Egor Ershov, Alexander Belokopytov, Nikola Banić   +2 more
exaly   +5 more sources

Illumination and Reflectance Estimation with its Application in Foreground Detection

Sensors, 2015
In this paper, we introduce a novel approach to estimate the illumination and reflectance of an image. The approach is based on illumination-reflectance model and wavelet theory.
Gang Jun Tu, Henrik Karstoft, Lene Juul Pedersen, Erik Jørgensen   +3 more
doaj   +3 more sources

SPLIE: Optimal Illumination Estimation for Structure Preserving Low-light Image Enhancement [PDF]

Port Said Engineering Research Journal, 2021
The images taken in low-light conditions often have many flaws such as, color vividness and low visibility which negatively affects the performance of many vision-based systems.
Ghada Sandoub, Randa Atta, Rabab Abdel-Kader, Hesham Ali   +3 more
doaj   +1 more source

Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution neural network

Frontiers in Neuroinformatics, 2022
Color constancy methods are generally based on a simplifying assumption that the spectral distribution of a light source is uniform across scenes. However, in reality, this assumption is often violated because of the presence of multiple light sources ...
Fei Wang, Fei Wang, Wei Wang, Dan Wu, Guowang Gao, Zetian Wang   +5 more
doaj   +1 more source

Learning-Based Illuminant Estimation Model With a Persistent Memory Residual Network (PMRN) Architecture

IEEE Access, 2021
Since AlexNet, large deep convolutional neural networks (DCNNs) have been one of the major topics of interest in the field of computer vision, as well as bringing remarkable progress to the field. However, there has been little effort to use the DCNNs in
Ho-Hyoung Choi, Byoung-Ju Yun
doaj   +1 more source