Process / pipelineColor analysis and computational imaging
Color Palette Extraction
Color Palette Extraction is a computational method for automatically identifying the dominant and aesthetically significant colors within an image or design. By clustering and ranking color frequencies using computer vision techniques, this pipeline produces actionable color palettes suitable for design replication, brand identity development, or creative inspiration.
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Sources
- Hasan, M. K., & Findley, W. M. (2012). Computational Color Harmony. IEEE Transactions on Image Processing, 21(2), 827–837. DOI: 10.1109/TIP.2011.2169975 ↗
- Lu, C., Shi, X., & Jia, Y. (2009). Dominant Color Extraction by Region-based Energy Minimization. IEEE Transactions on Image Processing, 18(8), 1860–1871. DOI: 10.1109/TIP.2009.2021700 ↗
- O'Donovan, P., Agarwala, A., & Hertzmann, A. (2012). Color Compatibility from Large Datasets. ACM Transactions on Graphics, 30(4), 63:1–63:12. DOI: 10.1145/2070781.2024190 ↗