NDLI: Variational Models for Image Colorization via Chromaticity and Brightness Decomposition

Content Provider	IEEE Xplore Digital Library
Author	Sung Ha Kang March, R.
Copyright Year	1992
Abstract	Colorization refers to an image processing task which recovers color in grayscale images when only small regions with color are given. We propose a couple of variational models using chromaticity color components to colorize black and white images. We first consider total variation minimizing (TV) colorization which is an extension from TV inpainting to color using chromaticity model. Second, we further modify our model to weighted harmonic maps for colorization. This model adds edge information from the brightness data, while it reconstructs smooth color values for each homogeneous region. We introduce penalized versions of the variational models, we analyze their convergence properties, and we present numerical results including extension to texture colorization.
Sponsorship	IEEE Signal Processing Society
Page Count	11
File Size	1284761
Starting Page	2251
Ending Page	2261
File Format	PDF
ISSN	10577149
Volume Number	16
Issue Number	9
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-09-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brightness Color Gray-scale TV Image reconstruction Image restoration Image processing Image texture analysis Convergence of numerical methods Image decomposition variational methods Chromaticity color images colorization harmonic maps image decomposition total variation (TV) minimization
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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