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Lessons Learned from Mondrians Applied to Real Images and Color Gamuts
Open accessAbstract
This paper is an attempt to integrate a wide variety of psychophysical experiments into a computational model to calculate color appearance. Having described the fundamentals of such a model, we turn to applying this model to printing wide dynamic range, real-life scenes and finding the best reproduction of an image with limited printer gamut.
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Citations
Cited by
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation
Fu, X., Zeng, D., Huang, Y., Zhang, X.-P., & Ding, X. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.304 · Cited by 1,081
A new algorithm for unsupervised global and local color correction
Rizzi, A., Gatta, C., & Marini, D. (2003) · Pattern Recognition Letters · doi:10.1016/s0167-8655(02)00323-9 · Cited by 332
Reflectance, illumination, and appearance in color constancy
McCann, J. J., Parraman, C., & Rizzi, A. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00005 · Cited by 55
Self-citation
Metadata
- Authors
- McCann, J.
- Venue
- Color and Imaging Conference
- Published
- 1999-01-01
- Volume
- 7
- Issue
- 1
- Pages
- 1-8
- ISSN
- 2166-9635 (ISSN-L)
- OpenAlex
- W46458814
- Cited by
- 190
- References
- 0
- FWCI
- 40.54
- Type
- conference paper
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Lessons Learned from Mondrians Applied to Real Images and Color Gamuts. https://app.cochat.ai/papers/10.2352/cic.1999.7.1.art00001
- The paper
- McCann, J. (1999). Lessons Learned from Mondrians Applied to Real Images and Color Gamuts. Color and Imaging Conference. https://doi.org/10.2352/cic.1999.7.1.art00001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
