Xue, DannaCorral, Javier VazquezHerranz, LuisZhang, YanningBrown, Michael S.Chaine, RaphaëlleDeng, ZhigangKim, Min H.2023-10-092023-10-0920231467-8659https://doi.org/10.1111/cgf.14964https://diglib.eg.org:443/handle/10.1111/cgf14964Achieving 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.CCS Concepts: Computing methodologies -> Image manipulation; Image processingComputing methodologiesImage manipulationImage processing10.1111/cgf.1496413 pages