Next Article in Journal
Preliminary Tests and Results Concerning Integration of Sentinel-2 and Landsat-8 OLI for Crop Monitoring
Next Article in Special Issue
Illusion and Illusoriness of Color and Coloration
Previous Article in Journal
Detection and Classification of Land Crude Oil Spills Using Color Segmentation and Texture Analysis
Previous Article in Special Issue
The Academy Color Encoding System (ACES): A Professional Color-Management Framework for Production, Post-Production and Archival of Still and Motion Pictures
Article Menu
Issue 4 (December) cover image

Export Article

Open AccessFeature PaperArticle
J. Imaging 2017, 3(4), 48; doi:10.3390/jimaging3040048

Exemplar-Based Face Colorization Using Image Morphing

1
Department of Mathematics, Technische Universität Kaiserslautern, Paul-Ehrlich-Str. 31, 67663 Kaiserslautern, Germany
2
Laboratoire Lorrain de Recherche en Informatique et ses Applications, UMR CNRS 7503, Université de Lorraine, INRIA projet Magrit, 54500 Vandoeuvre-les-Nancy, France
3
Fraunhofer ITWM, Fraunhofer-Platz 1, 67663 Kaiserslautern, Germany
*
Author to whom correspondence should be addressed.
Received: 30 May 2017 / Revised: 18 September 2017 / Accepted: 19 October 2017 / Published: 31 October 2017
(This article belongs to the Special Issue Color Image Processing)
View Full-Text   |   Download PDF [17606 KB, uploaded 31 October 2017]   |  

Abstract

Colorization of gray-scale images relies on prior color information. Exemplar-based methods use a color image as source of such information. Then the colors of the source image are transferred to the gray-scale target image. In the literature, this transfer is mainly guided by texture descriptors. Face images usually contain few texture so that the common approaches frequently fail. In this paper, we propose a new method taking the geometric structure of the images rather their texture into account such that it is more reliable for faces. Our approach is based on image morphing and relies on the YUV color space. First, a correspondence mapping between the luminance Y channel of the color source image and the gray-scale target image is computed. This mapping is based on the time discrete metamorphosis model suggested by Berkels, Effland and Rumpf. We provide a new finite difference approach for the numerical computation of the mapping. Then, the chrominance U,V channels of the source image are transferred via this correspondence map to the target image. A possible postprocessing step by a variational model is developed to further improve the results. To keep the contrast special attention is paid to make the postprocessing unbiased. Our numerical experiments show that our morphing based approach clearly outperforms state-of-the-art methods. View Full-Text
Keywords: image colorization; morphing; face images image colorization; morphing; face images
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Persch, J.; Pierre, F.; Steidl, G. Exemplar-Based Face Colorization Using Image Morphing. J. Imaging 2017, 3, 48.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
J. Imaging EISSN 2313-433X Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top