Automatic and accurate image matting

Authors:
Wu-Chih Hu;Deng-Yuan Huang;Ching-Yu Yang;Jia-Jie Jhu;Cheng-Pin Lin
Affiliations:
Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan;Department of Electrical Engineering, Dayeh University, Changhua, Taiwan;Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan;Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan;Department of Computer Science and Information Engineering, National Penghu University of Science and Technology, Penghu, Taiwan
Venue:
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume Part III
Year:
2010

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Abstract

This paper presents a modified spectral matting to obtain automatic and accurate image matting. Spectral matting is the state-of-the-art image matting and also a milestone in theoretic matting research. However, using spectral matting without user guides, the accuracy is usually low. The proposed modified spectral matting effectively raises the accuracy. In the proposed modified spectral matting, the palette-based component classification is proposed to obtain the reliable foreground and background components. In contrast to the spectral matting, based on these reliable foreground and background components, the accuracy of obtained alpha matte is greatly increased. Experimental results show that the proposed method has better performance than the spectral matting. Therefore, the proposed image matting is very suitable for image and video editing.