Data-Driven Image Color Theme Enhancement

摘要

It is often important for designers and photographers to convey orrnenhance desired color themes in their work. A color theme is typicallyrndefined as a template of colors and an associated verbal description.rnThis paper presents a data-driven method for enhancing arndesired color theme in an image. We formulate our goal as a unifiedrnoptimization that simultaneously considers a desired color theme,rntexture-color relationships as well as automatic or user-specifiedrncolor constraints. Quantifying the difference between an imagernand a color theme is made possible by color mood spaces and arngeneralization of an additivity relationship for two-color combinations.rnWe incorporate prior knowledge, such as texture-color relationships,rnextracted from a database of photographs to maintain arnnatural look of the edited images. Experiments and a user studyrnhave confirmed the effectiveness of our method.