Color constancy algorithms are typically evaluated with a statistical analysis of the recovery angular error and the reproduction angular error between the estimated and ground truth illuminants. Such analysis provides information about only the magnitude of the errors, and not about their chromatic properties. We propose an Angle-Retaining Chromaticity diagram (ARC) for the visual analysis of the estimated illuminants and the corresponding errors.
We provide an official MATLAB implementation, which can be used to convert RGB data into our ARC representation, and viceversa:
[link] (v2.0)
If you use this code in your research, please cite:
@article{buzzelli2020arc,
title = {ARC: Angle-Retaining Chromaticity diagram for color constancy error analysis},
author = {Marco Buzzelli and Simone Bianco and Raimondo Schettini},
journal = {J. Opt. Soc. Am. A},
number = {11},
pages = {1721--1730},
publisher = {OSA},
volume = {37},
month = {Nov},
year = {2020},
doi = {10.1364/JOSAA.398692}
}
@article{buzzelli2022angle,
title={Angle-Retaining Chromaticity and Color Space: Invariants and Properties},
author={Buzzelli, Marco},
journal={Journal of Imaging},
volume={8},
number={9},
article-number={232},
year={2022},
publisher={MDPI},
doi = {10.3390/jimaging8090232}
}
Publications
1.
Visualizing Perceptual Differences in White Color Constancy
(Marco Buzzelli)
In Journal of Imaging Science and Technology, volume 67, number 5, pp. 1-6, Society for Imaging Science and Technology, 2023.
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BibTex
Doi
@article{buzzelli2023visualizing,
author = {Buzzelli, Marco},
year = {2023},
pages = {1-6},
title = {Visualizing Perceptual Differences in White Color Constancy},
volume = {67},
number = {5},
publisher = {Society for Imaging Science and Technology},
journal = {Journal of Imaging Science and Technology},
url = {https://library.imaging.org/jist/articles/67/5/050404},
pdf = {/download/JIST_2023_050404_Marco-Buzzelli.pdf},
doi = {10.2352/J.ImagingSci.Technol.2023.67.5.050404}}
2.
Angle-Retaining Chromaticity and Color Space: Invariants and Properties
(Marco Buzzelli)
In Journal of Imaging, volume 8, number 9, pp. 232, MDPI, 2022.
Download
BibTex
Doi
Project Page
@article{buzzelli2022angle,
author = {Buzzelli, Marco},
year = {2022},
pages = {232},
title = {Angle-Retaining Chromaticity and Color Space: Invariants and Properties},
volume = {8},
number = {9},
publisher = {MDPI},
journal = {Journal of Imaging},
url = {https://www.mdpi.com/2313-433X/8/9/232},
pdf = {/download/buzzelli2022angle.pdf},
doi = {10.3390/jimaging8090232},
projectref = {http://www.ivl.disco.unimib.it/activities/arc/}}
3.
Angle-Retaining Color Space for Color Data Visualization and Analysis
(Marco Buzzelli, Simone Bianco, Raimondo Schettini)
In Proceedings of the International Colour Association (AIC) Conference 2021. Milan, Italy. AIC, pp. 245-250, 2021.
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BibTex
Project Page
@inproceedings{buzzelli2021angle,
author = {Buzzelli, Marco and Bianco, Simone and Schettini, Raimondo},
year = {2021},
pages = {245-250},
title = {Angle-Retaining Color Space for Color Data Visualization and Analysis},
booktitle = {Proceedings of the International Colour Association (AIC) Conference 2021. Milan, Italy. AIC},
pdf = {/download/AIC2021_angle.pdf},
projectref = {http://www.ivl.disco.unimib.it/activities/arc/}}
4.
ARC: Angle-Retaining Chromaticity diagram for color constancy error analysis
(Marco Buzzelli, Simone Bianco, Raimondo Schettini)
In J. Opt. Soc. Am. A, volume 37, number 11, pp. 1721-1730, OSA, 2020.
Download
BibTex
Doi
Project Page
@article{buzzelli2020arc,
author = {Buzzelli, Marco and Bianco, Simone and Schettini, Raimondo},
year = {2020},
month = {1},
pages = {1721-1730},
title = {ARC: Angle-Retaining Chromaticity diagram for color constancy error analysis},
volume = {37},
number = {11},
publisher = {OSA},
journal = {J. Opt. Soc. Am. A},
pdf = {/download/josaa-37-11-1721.pdf},
doi = {10.1364/JOSAA.398692},
projectref = {http://www.ivl.disco.unimib.it/activities/arc/}}