Colorization by Example
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Date
2005
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a new method for colorizing grayscale images by transferring color from a segmented example image. Rather than relying on a series of independent pixel-level decisions, we develop a new strategy that attempts to account for the higher-level context of each pixel. The colorizations generated by our approach exhibit a much higher degree of spatial consistency, compared to previous automatic color transfer methods [WAM02]. We also demonstrate that our method requires considerably less manual effort than previous user-assisted colorization methods [LLW04]. Given a grayscale image to colorize, we first determine for each pixel which example segment it should learn its color from. This is done automatically using a robust supervised classification scheme that analyzes the low-level feature space defined by small neighborhoods of pixels in the example image. Next, each pixel is assigned a color from the appropriate region using a neighborhood matching metric, combined with spatial filtering for improved spatial coherence. Each color assignment is associated with a confidence value, and pixels with a sufficiently high confidence level are provided as micro-scribbles to the optimization-based colorization algorithm of Levin et al. [LLW04], which produces the final complete colorization of the image.
Description
@inproceedings{10.2312:EGWR/EGSR05/201-210,
booktitle = {Eurographics Symposium on Rendering (2005)},
editor = {Kavita Bala and Philip Dutre},
title = {{Colorization by Example}},
author = {Irony, Revital and Cohen-Or, Daniel and Lischinski, Dani},
year = {2005},
publisher = {The Eurographics Association},
ISSN = {1727-3463},
ISBN = {3-905673-23-1},
DOI = {10.2312/EGWR/EGSR05/201-210}
}