A Comprehensive Review of Deep Learning based Illumination Estimation
S Sethu, J Devaraj, D Wang - 2023 - preprints.org
Deep learning (DL) models have been recently widely used to extract task-oriented patterns
from large scale of datasets, and to improve the data image understanding and analysis …
from large scale of datasets, and to improve the data image understanding and analysis …
Color Consistency of UAV Imagery using Multi-Channel CNN-based Image-to-Image Regression and Residual Learning
Remote sensing images often suffer from color distortion, which can pose significant
challenges for accurate data interpretation. To overcome this issue, this study developed a …
challenges for accurate data interpretation. To overcome this issue, this study developed a …
Framework for illumination estimation and segmentation in multi-illuminant scenes
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. Modern …
the colors of objects invariant to the color of the illumination that is illuminating them. Modern …
Using convolutional neural network models illumination estimation according to light colors
B Büyükarıkan, E Ülker - Optik, 2022 - Elsevier
One of the important problems in digital images is that the object's color changes as the light
source's color changes. Color constancy methods are used to solve these problems. Color …
source's color changes. Color constancy methods are used to solve these problems. Color …
Aydınlatmanın görüntü işleme problemlerine etkisinin yapay zeka teknikleri kullanılarak analizi
B Büyükarıkan - 2022 - gcris.ktun.edu.tr
Bir nesnenin görünümü, nesnenin yüzeyine düşen ışığın, rengi ve kalitesi ile aydınlatma
kaynağının konumundan etkilenir. Yapay görme uygulamalarında bu durumlar nesnenin …
kaynağının konumundan etkilenir. Yapay görme uygulamalarında bu durumlar nesnenin …