Open Access
1 January 2011 Colorization based on soft segmentation
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Abstract
This paper proposes a new colorization method based on the chrominance blending. The weights for the blending are computed by using the random walker algorithm, which is a soft segmentation technique that provides sharp probability transition on object boundaries. As a result, the proposed method reduces color bleeding and provides improved colorization performances compared to conventional ones.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Hyung-Il Koo and Nam-Ik Cho "Colorization based on soft segmentation," Journal of Electronic Imaging 20(1), 010502 (1 January 2011). https://doi.org/10.1117/1.3565470
Published: 1 January 2011
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image segmentation

Image processing algorithms and systems

3D image processing

Error analysis

Information technology

Visualization

Chromium

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