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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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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.

Original languageEnglish
Article numbere14964
JournalComputer Graphics Forum
Volume42
Issue number7
DOIs
StatePublished - Oct 2023
Externally publishedYes

Keywords

  • CCS Concepts
  • Image processing
  • • Computing methodologies → Image manipulation

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