Colorization using optimization
Anat Levin, Dani Lischinski, Yair Weiss
In ACM Transactions on Graphics, 23(3), August 2004.
Abstract: Colorization is a computer-assisted process of adding color to a monochrome image or movie. The process typically involves segmenting images into regions and tracking these regions across image sequences. Neither of these tasks can be performed reliably in practice; consequently, colorization requires considerable user intervention and remains a tedious, time-consuming, and expensive task.In this paper we present a simple colorization method that requires neither precise image segmentation, nor accurate region tracking. Our method is based on a simple premise; neighboring pixels in space-time that have similar intensities should have similar colors. We formalize this premise using a quadratic cost function and obtain an optimization problem that can be solved efficiently using standard techniques. In our approach an artist only needs to annotate the image with a few color scribbles, and the indicated colors are automatically propagated in both space and time to produce a fully colorized image or sequence. We demonstrate that high quality colorizations of stills and movie clips may be obtained from a relatively modest amount of user input.
Keyword(s): colorization, recoloring, segmentation
@article{Levin:2004:CUO,
author = {Anat Levin and Dani Lischinski and Yair Weiss},
title = {Colorization using optimization},
journal = {ACM Transactions on Graphics},
volume = {23},
number = {3},
pages = {689--694},
month = aug,
year = {2004},
}
Return to the search page.
graphbib: Powered by "bibsql" and "SQLite3."