About
Color Constancy is the ability of the human vision system to perceive the colors of the objects in the scene largely invariant to the color of the light source. The task of computational Color Constancy is to estimate the scene illumination and then perform the chromatic adaptation in order to remove the influence of the illumination color on the colors of the objects in the scene.
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Greatest papers with code
Fast Fourier Color Constancy
We present Fast Fourier Color Constancy (FFCC), a color constancy algorithm which solves illuminant estimation by reducing it to a spatial localization task on a torus.
FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling
However, the patch-based CNNs that exist for this problem are faced with the issue of estimation ambiguity, where a patch may contain insufficient information to establish a unique or even a limited possible range of illumination colors.
When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images
The challenge lies not in identifying what the correct white balance should have been, but in the fact that the in-camera white-balance procedure is followed by several camera-specific nonlinear color manipulations that make it challenging to correct the image's colors in post-processing.
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance
ICCV 2019
• mahmoudnafifi/WB_color_augmenter
• 
There is active research targeting local image manipulations that can fool deep neural networks (DNNs) into producing incorrect results.
COLOR CONSTANCY IMAGE AUGMENTATION IMAGE MANIPULATION SEMANTIC SEGMENTATION
A Multi-Hypothesis Approach to Color Constancy
CVPR 2020
• huawei-noah/multi_hyp_cc
• 
Firstly, we select a set of candidate scene illuminants in a data-driven fashion and apply them to a target image to generate of set of corrected images.
Conditional GANs for Multi-Illuminant Color Constancy: Revolution or Yet Another Approach?
Non-uniform and multi-illuminant color constancy are important tasks, the solution of which will allow to discard information about lighting conditions in the image.
Cascading Convolutional Color Constancy
• yhlscut/C4
•
Regressing the illumination of a scene from the representations of object appearances is popularly adopted in computational color constancy.
Color Constancy by Reweighting Image Feature Maps
In this study, a novel illuminant color estimation framework is proposed for computational color constancy, which incorporates the high representational capacity of deep-learning-based models and the great interpretability of assumption-based models.
Semantic White Balance: Semantic Color Constancy Using Convolutional Neural Network
• mahmoudnafifi/Semantic-Color-Constancy-Using-CNN
•
The goal of computational color constancy is to preserve the perceptive colors of objects under different lighting conditions by removing the effect of color casts caused by the scene's illumination.
The Cube++ Illumination Estimation Dataset
In this paper, a new illumination estimation dataset is proposed that aims to alleviate many of the mentioned problems and to help the illumination estimation research.