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 language | English |
|---|---|
| Article number | e14964 |
| Journal | Computer Graphics Forum |
| Volume | 42 |
| Issue number | 7 |
| DOIs | |
| State | Published - Oct 2023 |
| Externally published | Yes |
Keywords
- CCS Concepts
- Image processing
- • Computing methodologies → Image manipulation
Fingerprint
Dive into the research topics of 'Integrating High-Level Features for Consistent Palette-based Multi-image Recoloring'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver