ReCC-GAN: scene global illuminant estimation network based on Retinex and generative adversarial network
P Zhao, B Su, R Chai, P Qin… - Journal of Electronic …, 2024 - spiedigitallibrary.org
In capturing images, cameras often encounter color-cast problems owing to variations in the
illumination of different scenes. Existing algorithms attempt to estimate the illuminant …
illumination of different scenes. Existing algorithms attempt to estimate the illuminant …
Deep specialized network for illuminant estimation
Illuminant estimation to achieve color constancy is an ill-posed problem. Searching the large
hypothesis space for an accurate illuminant estimation is hard due to the ambiguities of …
hypothesis space for an accurate illuminant estimation is hard due to the ambiguities of …
Illuminant Estimation By Deep Learning
HH Miqdad - 2018 - qspace.qu.edu.qa
Computational color constancy refers to the problem of estimating the color of the scene
illumination in a color image, followed by color correction of the image through a white …
illumination in a color image, followed by color correction of the image through a white …
Convolutional mean: A simple convolutional neural network for illuminant estimation
H Gong - arXiv preprint arXiv:2001.04911, 2020 - arxiv.org
We present Convolutional Mean (CM)-a simple and fast convolutional neural network for
illuminant estimation. Our proposed method only requires a small neural network model (1.1 …
illuminant estimation. Our proposed method only requires a small neural network model (1.1 …
Self-adaptive single and multi-illuminant estimation framework based on deep learning
Y Liu, S Shen - arXiv preprint arXiv:1902.04705, 2019 - arxiv.org
Illuminant estimation plays a key role in digital camera pipeline system, it aims at reducing
color casting effect due to the influence of non-white illuminant. Recent researches handle …
color casting effect due to the influence of non-white illuminant. Recent researches handle …
CNN-based illumination estimation with semantic information
HH Choi, HS Kang, BJ Yun - Applied Sciences, 2020 - mdpi.com
For more than a decade, both academia and industry have focused attention on the
computer vision and in particular the computational color constancy (CVCC). The CVCC is …
computer vision and in particular the computational color constancy (CVCC). The CVCC is …
Robust channel-wise illumination estimation
Recently, Convolutional Neural Networks (CNNs) have been widely used to solve the
illuminant estimation problem and have often led to state-of-the-art results. Standard …
illuminant estimation problem and have often led to state-of-the-art results. Standard …
Very deep learning-based illumination estimation approach with cascading residual network architecture (CRNA)
HH Choi, BJ Yun - IEEE Access, 2021 - ieeexplore.ieee.org
For the imaging signal processing (ISP) pipeline of digital image devices, it is of high
significance to remove undesirable illuminant effects and obtain color invariance, commonly …
significance to remove undesirable illuminant effects and obtain color invariance, commonly …
Deep learning-based illumination estimation using light source classification
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 …
Its goal is to process the image so that there is no influence of illumination color on the …
End-to-end illuminant estimation based on deep metric learning
Previous deep learning approaches to color constancy usually directly estimate illuminant
value from input image. Such approaches might suffer heavily from being sensitive to the …
value from input image. Such approaches might suffer heavily from being sensitive to the …