Cited By

Colour has been cited or used in a way or another (computations, figures) by the following papers, publications, articles or presentations:

  • Akenine-Möller, T., Haines, E., Hoffman, N., Pesce, A., Hillaire, S., & Iwanicki, M. (2018). Real-Time Rendering, Fourth Edition. ISBN:978-1-138-62700-0

  • Arrighetti, W. (2017). The Academy Color Encoding System (ACES): A Professional Color-Management Framework for Production, Post-Production and Archival of Still and Motion Pictures. Journal of Imaging, 3(4), 40. doi:10.3390/jimaging3040040

  • Babina, K., Polyakova, M., Sokhova, I., Doroshina, V., Zaytsev, A., Nikonova, E. E., Budylin, G. S., Shirshin, E. A., Tantardini, C., & Novozhilova, N. (2022). Translucency and Color Stability of a Simplified Shade Nanohybrid Composite after Ultrasonic Scaling and Air-Powder Polishing. Nanomaterials, 12(24), 4465. doi:10.3390/nano12244465

  • Baumann, O., Okell, A., & Strom, J. (2018). Characterization of Processing Artifacts in High Dynamic Range, Wide Color Gamut Video. SMPTE Motion Imaging Journal, 127(3), 1–7. doi:10.5594/JMI.2018.2792761

  • Bernardoni, P., Mangherini, G., Andreoli, A., Diolaiti, V., Marrazzo, R., Melchiorre, F., Zanardi, S., & Vincenzi, D. (2024). Design of a Color Neutral Nonpatterned Photovoltaic Window Based on Luminescent Solar Concentrator. Solar RRL, 8(11), 2400195. doi:10.1002/solr.202400195

  • Blair, S., & Gruev, V. (2022). Interpolant-based demosaicing routines for dual-mode visible/near-infrared imaging systems. Optics Express, 30(19), 34201. doi:10.1364/OE.458101

  • Conley, K., Moosakhani, S., Thakore, V., Ge, Y., Lehtonen, J., Karttunen, M., Hannula, S.-P., & Ala-Nissila, T. (2021). Silica-silicon composites for near-infrared reflection: A comprehensive computational and experimental study. Ceramics International, 47(12), 16833–16840. doi:10.1016/j.ceramint.2021.02.257

  • Dherse, A. P., Everaert, M. N., & Gwizdała, J. J. (2020). Scene relighting with illumination estimation in the latent space on an encoder-decoder scheme. arXiv:2006.02333 [Cs]. Retrieved September 29, 2020, from http://arxiv.org/abs/2006.02333

  • Domínguez-Soberanes, J., Orvañanos-Guerrero, M. T., Sánchez, C. N., Lara, M., García, E., Cisneros, J. P., Orozco, L. E., & Rosales-Tavera, E. (2023). Images dataset of beef meat samples with different shelf life. Data in Brief, 50, 109503. doi:10.1016/j.dib.2023.109503

  • Duiker, H.-P., Forsythe, A., Dyer, S., Houston, J., McCown, W., Feeney, R., Maltz, A., & Walker, D. (2015). ACEScg: A Common Color Encoding for Visual Effects Applications - Talk. Retrieved August 15, 2015, from http://www.slideshare.net/hpduiker/acescg-a-common-color-encoding-for-visual-effects-applications

  • Ferrari, M., Laranjeiro, F., Sugrañes, M., Oliva, J., & Beiras, R. (2024). Weathering increases the acute toxicity of plastic pellets leachates to sea-urchin larvae—a case study with environmental samples. Scientific Reports, 14(1), 11784. doi:10.1038/s41598-024-60886-x

  • Fialho, M. R. (n.d.). Computational Design of Colourful and Flexible Photonic-enhanced Solar Cells. MATERIALS SCIENCE.

  • Funatomi, T., Ogawa, T., Tanaka, K., Kubo, H., Caron, G., Mouaddib, E. M., Matsushita, Y., & Mukaigawa, Y. (2022). Eliminating Temporal Illumination Variations in Whisk-broom Hyperspectral Imaging. International Journal of Computer Vision, 130(5), 1310–1324. doi:10.1007/s11263-022-01587-8

  • Godfroy, M., Liotier, J., Mwalukuku, V. M., Joly, D., Huaulmé, Q., Cabau, L., Aumaitre, C., Kervella, Y., Narbey, S., Oswald, F., & others. (2020). Benzothiadiazole-based photosensitizers for efficient and stable dye-sensitized solar cells and 8.7% efficiency semi-transparent mini-modules. Sustainable Energy & Fuels.

  • Guimarães, T. L. B. (2016). Determinação da Cor do Solo Pela Carta de Munsell e por Colorimetria.

  • Guo, J., Ju, S., Lee, Y., Gunay, A. A., & Shiomi, J. (2022). Photonic design for color compatible radiative cooling accelerated by materials informatics. International Journal of Heat and Mass Transfer, 195, 123193. doi:10.1016/j.ijheatmasstransfer.2022.123193

  • Guo, X., & Che, W. (2024). Improvement of gram staining effect by ethanol pretreatment and quantization of staining image by unsupervised machine learning. Archives of Microbiology, 206(7), 318. doi:10.1007/s00203-024-04045-w

  • Hart, E. (2016). UHD Color for Games.

  • Hattori, S., Hiroi, Y., & Hiraki, T. (n.d.). Measurement of the Imperceptible Threshold for Color Vibration Pairs Selected by using MacAdam Ellipse.

  • Hoffman, N. (2015). Physics and Math of Shading.

  • Hoffman, N. (2014). Background: Physics and Math of Shading. 1–96.

  • Jakob, W., & Hanika, J. (2019). A Low‐Dimensional Function Space for Efficient Spectral Upsampling. Computer Graphics Forum, 38(2), 147–155. doi:10.1111/cgf.13626

  • Jany, B. R. (2024). Quantifying colors at micrometer scale by colorimetric microscopy (C-Microscopy) approach. Micron, 176, 103557. doi:10.1016/j.micron.2023.103557

  • Jarý, V., Havlák, L., Bárta, J., Rejman, M., Bystřický, A., Dujardin, C., Ledoux, G., & Nikl, M. (2018). Circadian Light Source Based on K x Na 1-x LuS 2 :Eu 2+ Phosphor. ECS Journal of Solid State Science and Technology, 7(1), R3182–R3188. doi:10.1149/2.0231801jss

  • Jung, G., Lee, J., & Kim, S. (2024). Spectrum-based deep learning framework for dermatological pigment analysis and simulation. Computers in Biology and Medicine, 178, 108741. doi:10.1016/j.compbiomed.2024.108741

  • Kinoshita, Y., & Kiya, H. (2021). Separated-Spectral-Distribution Estimation Based on Bayesian Inference with Single RGB Camera. arXiv Preprint arXiv:2106.01861.

  • Lalli, N. S., & Giusti, A. (2023). Coherence effects on the interference colors of soap films. Journal of Applied Physics, 134(9), 093103. doi:10.1063/5.0158178

  • Landauer, M. F. (2022). Kido - a hardware-accelerated lighting planning software.

  • Liotier, J., Issoufou Alfari, L., Mahler, B., Niehaus, T., Dujardin, C., Guelen, S., Schanen, V., Dufaud, V., Raynaud, J., & Monteil, V. (2024). Polyethersulfones upcycling to luminescent materials by aminolysis. Chemistry. doi:10.26434/chemrxiv-2024-vfkz0

  • Martin, J. T., Boynton, G. M., Baker, D. H., Wade, A. R., & Spitschan, M. (2023). PySilSub : An open-source Python toolbox for implementing the method of silent substitution in vision and nonvisual photoreception research. Journal of Vision, 23(7), 10. doi:10.1167/jov.23.7.10

  • Mauderer, M., Flatla, D. R., & Nacenta, M. A. (2016). Gaze-Contingent Manipulation of Color Perception. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems - CHI ’16, 5191–5202. doi:10.1145/2858036.2858320

  • Meng, J., Simon, F., Hanika, J., & Dachsbacher, C. (2015). Physically Meaningful Rendering using Tristimulus Colours. Computer Graphics Forum, 34(4), 31–40. doi:10.1111/cgf.12676

  • Merkx, E. P., Plokker, M. P., & van der Kolk, E. (2021). The potential of transparent sputtered NaI: Tm2+, CaBr2: Tm2+, and CaI2: Tm2+ thin films as luminescent solar concentrators. Solar Energy Materials and Solar Cells, 223, 110944. doi:10.1016/j.solmat.2020.110944

  • Patin, G., Erdmann, R. G., Ligterink, F., Neevel, J. G., Van Den Berg, K. J., & Hendriks, E. (2022). An enhanced optical micro-fading device. Journal of Cultural Heritage, 57, 276–285. doi:10.1016/j.culher.2022.08.012

  • Peña, K., Clark, C., & Whipple, M. (n.d.). Protecting a Story’s Future with History and Science. Retrieved January 26, 2020, from https://medium.com/netflix-techblog/protecting-a-storys-future-with-history-and-science-e21a9fb54988

  • Quek, G., Wienold, J., & Kim, D. (2023). PERFORMANCE INVESTIGATION OF CAMERAS USING HDR SENSORS FOR DAYLIGHT GLARE EVALUATIONS. CIE X050:2023 Proceedings of the 30th Session of the CIE, Ljubljana, Slovenia, September 15 – 23, 2023, Volume 1, 402–411. doi:10.25039/x50.2023.OP059

  • Ritzmann, S., & Urban, P. (2024). A neural network to predict the spectral reflectance of prints. Journal of Print and Media Technology Research, 13(2), 63–79. doi:10.14622/JPMTR-2403

  • Sajedian, I., Badloe, T., & Rho, J. (2018). Finding the best design parameters for optical nanostructures using reinforcement learning. http://arxiv.org/abs/1810.10964

  • Sajedian, I., Badloe, T., & Rho, J. (2019). Optimisation of colour generation from dielectric nanostructures using reinforcement learning. Optics Express, 27(4), 5874. doi:10.1364/OE.27.005874

  • Sajedian, I., Lee, H., & Rho, J. (2020). Design of high transmission color filters for solar cells directed by deep Q-learning. Solar Energy, 195, 670–676. doi:10.1016/j.solener.2019.12.013

  • Sánchez, C. N., Orvañanos-Guerrero, M. T., Domínguez-Soberanes, J., & Álvarez-Cisneros, Y. M. (2023). Analysis of beef quality according to color changes using computer vision and white-box machine learning techniques. Heliyon, 9(7), e17976. doi:10.1016/j.heliyon.2023.e17976

  • Sharma, S. K., Lin, Y.-C., Carrasco, I., Tingberg, T., Bettinelli, M., & Karlsson, M. (2018). Weak thermal quenching of the luminescence in the Ca 3 Sc 2 Si 3 O 12 :Ce 3+ garnet phosphor. Journal of Materials Chemistry C, 6(33), 8923–8933. doi:10.1039/C8TC02907E

  • Shibu, A., Jones, S., Tolley, P. L., Diaz, D., Kwiatkowski, C. O., Jones, D. S., Shivas, J. M., Foley, J. J., Schmedake, T. A., & Walter, M. G. (2023). Correlating structure and photophysical properties in thiazolo[5,4- d ]thiazole crystal derivatives for use in solid-state photonic and fluorescence-based optical devices. Materials Advances, 4(23), 6321–6332. doi:10.1039/D3MA00686G

  • Stoliaroff, A., Rio, J., & Latouche, C. (2019). Accurate computations to simulate the phosphorescence spectra of large transition complexes: simulated colors match experiment. New Journal of Chemistry, 43(30), 11903–11911. doi:10.1039/C9NJ02388G

  • Stratmann, L. (2017). Conceptualization and Prototypical Implementation in WebGL of an Exercise in Color Theory.

  • Tam, J. (2016). A Generative Model for Digital Camera Chemical Colorimetry.

  • Teutoburg-Weiss, S., Soldera, M., Bouchard, F., Kreß, J., Vaynzof, Y., & Lasagni, A. F. (2022). Structural colors with embedded anti-counterfeit features fabricated by laser-based methods. Optics & Laser Technology, 151, 108012. doi:10.1016/j.optlastec.2022.108012

  • Uchimura, H. (2016). Color Science for Games.

  • Uchimura, H., & Suzuki, K. (2018). Practical HDR and Wide Color Techniques in Gran Turismo SPORT. http://www.polyphony.co.jp/publications/sa2018/

  • Walker, D., Dolan, M., & Hodoul, P. (2020). The ASWF Takes OpenColorIO to the Next Level. The Digital Production Symposium, 1–10. doi:10.1145/3403736.3403942

  • Waters, M. J., Walker, J. M., Nelson, C. T., Joester, D., & Rondinelli, J. M. (2020). Exploiting colorimetry for fidelity in data visualization. CoRR, abs/2002.12228. https://arxiv.org/abs/2002.12228

  • Wei, N., Tian, Y., Liao, Y., Komatsu, N., Gao, W., Lyuleeva-Husemann, A., Zhang, Q., Hussain, A., Ding, E.-X., Yao, F., & others. (2020). Colors of Single-Wall Carbon Nanotubes. Advanced Materials, 2006395.

  • Wheatley, K. J. (2016). A retrospective on the adoption of the ACES technology at Framestore. Proceedings of the 2016 Symposium on Digital Production, 19–30. doi:10.1145/2947688.2947695