Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Learning natural colors for image recoloring

Huang, H.-Z., Zhang, S.-H., Martin, Ralph Robert and Hu, S.-M. 2014. Learning natural colors for image recoloring. Computer Graphics Forum 33 (7) , pp. 299-308. 10.1111/cgf.12498

Full text not available from this repository.


We present a data-driven method for automatically recoloring a photo to enhance its appearance or change a viewer's emotional response to it. A compact representation called a RegionNet summarizes color and geometric features of image regions, and geometric relationships between them. Correlations between color property distributions and geometric features of regions are learned from a database of well-colored photos. A probabilistic factor graph model is used to summarize distributions of color properties and generate an overall probability distribution for color suggestions. Given a new input image, we can generate multiple recolored results which unlike previous automatic results, are both natural and artistic, and compatible with their spatial arrangements.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: Wiley-Blackwell
ISSN: 0167-7055
Funders: EPSRC
Last Modified: 21 Feb 2019 14:25

Citation Data

Cited 16 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item