调色板(绘画)
计算机科学
一致性(知识库)
工作流程
人工智能
计算机视觉
图像(数学)
图像编辑
计算机图形学(图像)
情报检索
数据库
操作系统
作者
Danna Xue,Javier Vazquez Corral,Luis Herranz,Ying Zhang,Michael S. Brown
摘要
Abstract Achieving visually consistent colors across multiple images is important when images are used in photo albums, websites, and brochures. Unfortunately, only a handful of methods address multi‐image color consistency compared to one‐to‐one color transfer techniques. Furthermore, existing methods do not incorporate high‐level features that can assist graphic designers in their work. To address these limitations, we introduce a framework that builds upon a previous palette‐based color consistency method and incorporates three high‐level features: white balance, saliency, and color naming. We show how these features overcome the limitations of the prior multi‐consistency workflow and showcase the user‐friendly nature of our framework.
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