Open Access
1 January 2011 Colorization based on soft segmentation
Author Affiliations +
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
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Image processing algorithms and systems

3D image processing

Error analysis

Information technology

Visualization

Chromium

RELATED CONTENT

Nonlocal filtering based salient region detection
Proceedings of SPIE (May 06 2019)
Real time simulation of 3 axis CNC programs with 3D...
Proceedings of SPIE (August 28 1995)
Segmentation of stereo terrain images
Proceedings of SPIE (June 02 2000)
Approaches to registration using 3D surfaces
Proceedings of SPIE (May 11 1994)

Back to Top