Palette-Based Color Harmonization via Color Naming

Color harmony refers to combinations of colors that look pleasing together. We present a novel strategy to harmonize an image's colors using color-palette manipulation and color naming. Palette-based color manipulation is a method that extracts a few colors to represent the image. Modifying the palette colors modifies the color appearance of the image. A color-naming model is a mechanism to categorize colors into a fixed number of basic color terms. Working from a color-naming model, we derive a set of prototype colors and demonstrate that mapping an image's extracted color palette to the nearest prototype colors effectively harmonizes the image's colors. This straightforward approach yields visually compelling, outperforming more complex color harmony methods.