Automatic Image Colorization based on Feature Lines

Van Nguyen, Vicky Sintunata, Terumasa Aoki

Abstract

Automatic image colorization is one of the attractive research topics in image processing. The most crucial task in this field is how to design an algorithm to define appropriate color from the reference image(s) for propagating to the target image. In other words, we need to determine whether two pixels in reference and target images have similar color. In previous methods, many approaches have been introduced mostly based on local feature matching algorithms. However, they still have some defects as well as time-consuming. In this paper, we will present a novel automatic image colorization method based on Feature Lines. Feature Lines is our new concept, which enhances the concept of Color Lines. It represents the distribution of each pixel feature vector as being elongated around the lines so that we are able to assemble the similar feature pixels into one feature line. By introducing this new technique, pixel matching between reference and target images performs precisely. The experimental achievements show our proposed method achieves smoother, evener and more natural color assignment than the previous methods.

References

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Paper Citation


in Harvard Style

Nguyen V., Sintunata V. and Aoki T. (2016). Automatic Image Colorization based on Feature Lines . In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 126-133. DOI: 10.5220/0005676401260133


in Bibtex Style

@conference{visapp16,
author={Van Nguyen and Vicky Sintunata and Terumasa Aoki},
title={Automatic Image Colorization based on Feature Lines},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={126-133},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005676401260133},
isbn={978-989-758-175-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - Automatic Image Colorization based on Feature Lines
SN - 978-989-758-175-5
AU - Nguyen V.
AU - Sintunata V.
AU - Aoki T.
PY - 2016
SP - 126
EP - 133
DO - 10.5220/0005676401260133