Color constancy convolutional autoencoder
In this paper, we study the importance of pretraining for the generalization capability in the
color constancy problem. We propose two novel approaches based on convolutional …
color constancy problem. We propose two novel approaches based on convolutional …
INTEL-TUT dataset for camera invariant color constancy research
C Aytekin, J Nikkanen, M Gabbouj - arXiv preprint arXiv:1703.09778, 2017 - arxiv.org
In this paper, we provide a novel dataset designed for camera invariant color constancy
research. Camera invariance corresponds to the robustness of an algorithm's performance …
research. Camera invariance corresponds to the robustness of an algorithm's performance …
One-Net: Convolutional color constancy simplified
Images have an ever-increasing presence in our daily lives. This increases the need for
accurate and efficient image processing. One of the first processing steps in modern …
accurate and efficient image processing. One of the first processing steps in modern …
Unsupervised learning for color constancy
Most digital camera pipelines use color constancy methods to reduce the influence of
illumination and camera sensor on the colors of scene objects. The highest accuracy of color …
illumination and camera sensor on the colors of scene objects. The highest accuracy of color …
Transfer learning for color constancy via statistic perspective
Y Tang, X Kang, C Li, Z Lin, A Ming - … of the AAAI Conference on Artificial …, 2022 - ojs.aaai.org
Color Constancy aims to correct image color casts caused by scene illumination. Recently,
although the deep learning approaches have remarkably improved on single-camera data …
although the deep learning approaches have remarkably improved on single-camera data …
Cascading convolutional color constancy
Regressing the illumination of a scene from the representations of object appearances is
popularly adopted in computational color constancy. However, it's still challenging due to …
popularly adopted in computational color constancy. However, it's still challenging due to …
A multi-hypothesis approach to color constancy
D Hernandez-Juarez, S Parisot… - Proceedings of the …, 2020 - openaccess.thecvf.com
Contemporary approaches frame the color constancy problem as learning camera specific
illuminant mappings. While high accuracy can be achieved on camera specific data, these …
illuminant mappings. While high accuracy can be achieved on camera specific data, these …
Attention-based convolutional neural network for computer vision color constancy
K Koščević, M Subašić… - 2019 11th International …, 2019 - ieeexplore.ieee.org
Achieving color constancy is an important part of image preprocessing pipeline of
contemporary digital cameras. Its goal is to eliminate the influence of the illumination color …
contemporary digital cameras. Its goal is to eliminate the influence of the illumination color …
Color constancy by combining low-mid-high level image cues
Y Liu, T Gevers, X Li - Computer Vision and Image Understanding, 2015 - Elsevier
In general, computational methods to estimate the color of the light source are based on
single, low-level image cues such as pixel values and edges. Only a few methods are …
single, low-level image cues such as pixel values and edges. Only a few methods are …
A data set for camera-independent color constancy
Ç Aytekin, J Nikkanen… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we provide a novel data set designed for Camera-independent color
constancy research. Camera independence corresponds to the robustness of an algorithm's …
constancy research. Camera independence corresponds to the robustness of an algorithm's …