期刊
JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
卷 30, 期 3, 页码 478-488出版社
SCIENCE PRESS
DOI: 10.1007/s11390-015-1538-x
关键词
colorization; recoloring; feature space; relative total variation
资金
- National Natural Science Foundation of China [61100146, 61472351]
- Zhejiang Provincial Natural Science Foundation of China [LY15F020019, LQ14F020006]
- National Key Technology Research and Development Program of the Ministry of Science and Technology of China [2013BAH24F01]
This paper proposes a structure-aware nonlocal energy optimization framework for interactive image colorization with sparse scribbles. Our colorization technique propagates colors to both local intensity-continuous regions and remote texture-similar regions without explicit image segmentation. We implement the nonlocal principle by computing k nearest neighbors in the high-dimensional feature space. The feature space contains not only image coordinates and intensities but also statistical texture features obtained with the direction-aligned Gabor wavelet filter. Structure maps are utilized to scale texture features to avoid artifacts along high-contrast boundaries. We show various experimental results and comparisons on image colorization, selective recoloring and decoloring, and progressive color editing to demonstrate the effectiveness of the proposed approach.
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