Name
Abstract | ||
|---|---|---|
We present a palette-based framework for color composition for visual applications. Color composition is a critical aspect of visual applications in art, design, and visualization. The color wheel is often used to explain pleasing color combinations in geometric terms, and, in digital design, to provide a user interface to visualize and manipulate colors. We abstract relationships between palette colors as a compact set of axes describing harmonic templates over perceptually uniform color wheels. Our framework provides a basis for a variety of color-aware image operations, such as color harmonization and color transfer. To enable our approach, we introduce an extremely scalable and efficient yet simple palette-based image decomposition algorithm. Our approach is based on the geometry of images in RGBXY-space. This new geometric approach is orders of magnitude more efficient than previous work and requires no numerical optimization. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Graphics | Computer vision,Visualization,Computer science,Harmonic,Artificial intelligence,Template,User interface,Color wheel,Scalability |
DocType | Volume | Citations |
Journal | abs/1804.01225 | 1 |
PageRank | References | Authors |
0.35 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianchao Tan | 1 | 33 | 3.59 |
| Jose I. Echevarria | 2 | 78 | 9.52 |
| Yotam I. Gingold | 3 | 143 | 15.54 |