Results 11 to 20 of about 1,639,917 (250)
Gamut Constrained Illuminant Estimation [PDF]
International Journal of Computer Vision, 2003 This paper presents a novel solution to the illuminant estimation problem: the problem of how, given an image of a scene taken under an unknown illuminant, we can recover an estimate of that light. The work is founded on previous gamut mapping solutions to the problem which solve for a scene illuminant by determining the set of diagonal mappings which ...
Finlayson, Graham +2 more
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The bright-chromagenic algorithm for illuminant estimation [PDF]
Color and Imaging Conference, 2007 This article proposes a new algorithm for illuminant estimation based on the concept of chromagenic color constancy, where two pictures are taken from each scene: A normal one and one where a colored filter is placed in front of the camera. The basic formulation of the chromagenic algorithm has inherent weaknesses, namely, a need for perfectly ...
Fredembach, Clément, Finlayson, Graham
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The Cube++ Illumination Estimation Dataset
IEEE Access, 2020 Computational color constancy has the important task of reducing the influence of the scene illumination on the object colors. As such, it is an essential part of the image processing pipelines of most digital cameras.
Egor Ershov +8 more
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Illuminant spectrum estimation at a pixel [PDF]
Journal of the Optical Society of America A, 2011 In this paper, an algorithm is proposed to estimate the spectral power distribution of a light source at a pixel. The first step of the algorithm is forming a two-dimensional illuminant invariant chromaticity space. In estimating the illuminant spectrum, generalized inverse estimation and Wiener estimation methods were applied.
Sivalogeswaran, Ratnasingam +1 more
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Illuminant color estimation for real-world mixed-illuminant scenes [PDF]
2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), 2011 We present a physics-based approach for illuminant color estimation of arbitrary images, which is explicitly designed for handling images with multiple illuminants. The majority of techniques that extract the illuminant color assume that the illumination is constant across the scene. This, however, is not often the case.
Christian Riess +2 more
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Rehabilitating the ColorChecker Dataset for Illuminant Estimation [PDF]
Color and Imaging Conference, 2018 4 pages, 3 figures, 2 tables, Proceedings of the 26th Color and Imaging ...
Ghalia Hemrit +7 more
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Illuminant Estimation by Voting [PDF]
, 2009 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
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A Psychophysical Analysis of Illuminant Estimation Algorithms [PDF]
, 2017 Illuminant estimation algorithms are often evaluated by calculating recovery angular error which is the angle between the RGB of the ground truth and the estimated illuminants.
Finlayson, Graham, Zakizadeh, Roshanak
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Deep outdoor illumination estimation [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 We present a CNN-based technique to estimate high-dynamic range outdoor illumination from a single low dynamic range image. To train the CNN, we leverage a large dataset of outdoor panoramas. We fit a low-dimensional physically-based outdoor illumination model to the skies in these panoramas giving us a compact set of parameters (including sun position,
Yannick Hold-Geoffroy +4 more
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IEEE Access, 2021 Since AlexNet, large deep convolutional neural networks (DCNNs) have been one of the major topics of interest in the field of computer vision, as well as bringing remarkable progress to the field. However, there has been little effort to use the DCNNs in
Ho-Hyoung Choi, Byoung-Ju Yun
doaj +1 more source