Information
- Publication Type: Journal Paper (without talk)
- Workgroup(s)/Project(s):
- Date: November 2012
- Journal: The Visual Computer
- Number: 11
- Volume: 29
- Pages: 1173 – 1186
- Keywords: interactive image editing, color manipulation, image processing, recoloring, computational photography
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.Additional Files and Images
Additional images and videos
comparison:
comparison to other methods
results:
results of the proposed method
Additional files
Weblinks
BibTeX
@article{musialski_2012_fice, title = "A Framework for Interactive Image Color Editing", author = "Przemyslaw Musialski and Ming Cui and Jieping Ye and Anshuman Razdan and Peter Wonka", year = "2012", 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.", month = nov, journal = "The Visual Computer", number = "11", volume = "29", pages = "1173--1186", keywords = "interactive image editing, color manipulation, image processing, recoloring, computational photography", URL = "https://www.cg.tuwien.ac.at/research/publications/2012/musialski_2012_fice/", }