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Illuminant Estimation by Voting [PDF]
Obtaining an estimate of the illuminant color is an important component in many image analysis applications. Due to the complexity of the problem many estrictive assumptions are commonly applied, making the existing illuminant estimation methodologies not widely applicable on natural images.
Riess, Christian +2 more
core +4 more sources
Improving RGB illuminant estimation exploiting spectral average radiance.
We introduce a method that enhances RGB color constancy accuracy by combining neural network and k-means clustering techniques. Our approach stands out from previous works because we combine multispectral and color information together to estimate ...
Ilaria Erba +4 more
semanticscholar +2 more sources
Single and Multiple Illuminant Estimation Using Convolutional Neural Networks [PDF]
In this paper, we present a three-stage method for the estimation of the color of the illuminant in RAW images. The first stage uses a convolutional neural network that has been specially designed to produce multiple local estimates of the illuminant ...
Raimondo Schettini +2 more
exaly +2 more sources
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Color transfer based on cartoon decomposition and efficient illuminant estimation
Other Conferences, 2023The traditional color transfer method does not consider the influence of the light source of the reference image well, which is easy to cause problems such as poor visual effect and fuzzy texture details in the resulting image. To solve these problems, a
Bin Xie +4 more
semanticscholar +1 more source
Leveraging the Availability of Two Cameras for Illuminant Estimation
Computer Vision and Pattern Recognition, 2021Most modern smartphones are now equipped with two rear-facing cameras – a main camera for standard imaging and an additional camera to provide wide-angle or telephoto zoom capabilities. In this paper, we leverage the availability of these two cameras for
A. Abdelhamed +2 more
semanticscholar +1 more source
Towards Highlight Based Illuminant Estimation in Multispectral Images
Lecture Notes in Computer Science, 2018Jon Yngve Hardeberg +2 more
exaly +2 more sources
Deep Dichromatic Guided Learning for Illuminant Estimation
IEEE Transactions on Image Processing, 2021A new dichromatic illuminant estimation method using a deep neural network is proposed. Previous methods based on the dichromatic reflection model commonly suffer from inaccurate separation of specularity, thus being limited in their use in a real-world.
Sung-Min Woo, Jong-Ok Kim
semanticscholar +1 more source
Illuminant estimation error detection for outdoor scenes using transformers
International Symposium on Image and Signal Processing and Analysis, 2021Color constancy is an important property of the human visual system that allows us to recognize the colors of objects regardless of the scene illumination.
D. Vršnak +3 more
semanticscholar +1 more source
Illuminant estimation for object recognition
Comparing colour histograms of images has been shown to be a powerful technique for discriminating among large sets of images. However, these histograms depend not only on the properties of imaged objects but also on the illumination under which the ...
Hubel, Paul M. +2 more
exaly +2 more sources
Non-Orthogonal Projection Method for Multiple Illuminant Estimation
2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), 2021We present a method to estimate the color of multiple illuminants in real-world images. The proposed method exploits a physical model for the color formation of a pixel and infers the probability of a pixel chromaticity with a specific color temperature ...
So-yeon Jang, Sung-Min Woo
semanticscholar +1 more source

