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3rd European Workshop on Visual Information Processing, 2011
Raimondo Schettini, Simone Bianco
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Raimondo Schettini, Simone Bianco
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Approaching the Computational Color Constancy as a Classification Problem Through Deep Learning [PDF]
Pattern Recognition, 2017 Computational color constancy refers to the problem of computing the illuminant color so that the images of a scene under varying illumination can be normalized to an image under the canonical illumination. In this paper, we adopt a deep learning framework for the illumination estimation problem.
Seon Joo Kim
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Computational Color Constancy-Based Backdoor Attacks
2023 International Symposium on Image and Signal Processing and Analysis (ISPA), 2023Deep neural networks (DNNs) have become an integral part of many computer vision tasks. However, training complex neural networks requires a large amount of computational resources. Therefore, many users outsource training to third parties. This introduces an attack vector for backdoor attacks. These attacks are described as attacks in which the neural
Subašić, Marko +3 more
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A Comparison of Computational Color Constancy Algorithms. II. Experiments With Image Data
IEEE Transactions on Image Processing, 2002We test a number of the leading computational color constancy algorithms using a comprehensive set of images. These were of 33 different scenes under 11 different sources representative of common illumination conditions. The algorithms studied include two gray world methods, a version of the Retinex method, several variants of Forsyth's gamut-mapping ...
Kobus Barnard, Funt, Brian
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Edge-Based Color Constancy [PDF]
IEEE Transactions on Image Processing, 2007 International audienceColor constancy is the ability to measure colors of objects independent of the color of the light source. A well-known color constancy method is based on the gray-world assumption which assumes that the average reflectance of ...
Joost van de Weijer +2 more
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IEEE Transactions on Image Processing, 2002
We introduce a context for testing computational color constancy, specify our approach to the implementation of a number of the leading algorithms, and report the results of three experiments using synthesized data. Experiments using synthesized data are important because the ground truth is known, possible confounds due to camera characterization and ...
Kobus Barnard, Funt, Brian
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We introduce a context for testing computational color constancy, specify our approach to the implementation of a number of the leading algorithms, and report the results of three experiments using synthesized data. Experiments using synthesized data are important because the ground truth is known, possible confounds due to camera characterization and ...
Kobus Barnard, Funt, Brian
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Color matching algorithm based on computational 'color constancy' theory
Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003This paper describes a new color appearance matching method based on color constancy theory. In order to achieve good color appearance matching between different color devices such as a CRT-monitor and a printer, whose whites are quite different, the method recovers the hypothetical surface reflectances of objects and the hypothetical spectral power ...
Masato Tsukada, Johji Tajima
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Filters & Lumination: Creating multi-illuminant images for computational color constancy
Proceedings of the 2023 8th International Conference on Machine Learning Technologies, 2023White-balancing is a very important process for anyone who deals with photography. It is present in every digital camera, and it has a significant influence on how an image will look. It removes the chromatic effect of scene illumination so that the final image looks as though it is illuminated by a perfectly white light.
Ilija Domislovic +3 more
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Computational colour constancy
Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, 2002The colour response of a camera or of the human eye is confounded by illumination. The colours recorded under yellow and blue illuminants are respectively more yellowish and bluish than they ought to be. Removing colour bias due to illumination is called colour constancy.
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SAAF-SVR for computational color constancy
Journal of the Optical Society of America AVariations in illumination conditions critically degrade color fidelity in digital images, thereby compromising the accuracy of downstream computer vision tasks. Building upon these historical principles, this paper proposes a self-attention autoencoding feature support vector regression algorithm.
Zhijie Huang +3 more
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