A framework for interactive image color editing

Przemyslaw Musialski, Ming Cui, Jieping Ye, Anshuman Razdan, Peter Wonka

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

We propose a new method for interactive image color replacement that creates smooth and naturally looking results with minimal user interaction. Our system expects as input a source image and rawly scribbled target color values and generates high quality results in interactive rates. To achieve this goal we introduce an algorithm that preserves pairwise distances of the signatures in the original image and simultaneously maps the color to the user defined target values. We propose efficient sub-sampling in order to reduce the computational load and adapt semi-supervised locally linear embedding to optimize the constraints in one objective function. We show the application of the algorithm on typical photographs and compare the results to other color replacement methods.

Original languageEnglish (US)
Pages (from-to)1173-1186
Number of pages14
JournalVisual Computer
Volume29
Issue number11
DOIs
StatePublished - Jan 1 2013

    Fingerprint

Keywords

  • Color manipulation
  • Computational photography
  • Image processing
  • Interactive image editing
  • Recoloring

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

Cite this

Musialski, P., Cui, M., Ye, J., Razdan, A., & Wonka, P. (2013). A framework for interactive image color editing. Visual Computer, 29(11), 1173-1186. https://doi.org/10.1007/s00371-012-0761-5