Authors:
Van Nguyen
;
Vicky Sintunata
and
Terumasa Aoki
Affiliation:
Tohoku University, Japan
Keyword(s):
Automatic Colorization, Color Lines, Feature Lines.
Related
Ontology
Subjects/Areas/Topics:
Color and Texture Analyses
;
Computer Vision, Visualization and Computer Graphics
;
Features Extraction
;
Image and Video Analysis
;
Segmentation and Grouping
;
Shape Representation and Matching
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.
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