跳到主要导航 跳到搜索 跳到主要内容

Integrating High-Level Features for Consistent Palette-based Multi-image Recoloring

  • D. Xue
  • , J. Vazquez Corral
  • , L. Herranz
  • , Y. Zhang
  • , M. S. Brown
  • Northwestern Polytechnical University Xian
  • Computer Vision Centre
  • Autonomous University of Barcelona
  • York University Toronto

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

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.

源语言英语
文章编号e14964
期刊Computer Graphics Forum
42
7
DOI
出版状态已出版 - 10月 2023
已对外发布

学术指纹

探究 'Integrating High-Level Features for Consistent Palette-based Multi-image Recoloring' 的科研主题。它们共同构成独一无二的学术指纹。

引用此