Technical section: Fast natural image matting in perceptual color space

Authors:
Shengyou Lin;Jiaoying Shi
Affiliations:
State Key Laboratory of CAD and CG, Zhejiang University, PR China;State Key Laboratory of CAD and CG, Zhejiang University, PR China
Venue:
Computers and Graphics
Year:
2005

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Abstract

This paper proposes a fast natural image matting method in perceptual color space. Natural image matting is usually composed of three steps: region segmenting, color estimating and alpha estimating. Our matting approach uses a practical model to estimate the foreground and background color of a given pixel in unknown regions. It avoids complex computing and decreases computational cost significantly. A new alpha estimating method in perceptual color space is introduced to compute the alpha value correctly and effectively. We separate the chroma and intensity information of a color and emphasize the more significant one. Our method works well on different perceptual color spaces, extracts foreground objects much faster, and produces modestly better mattes than the Bayesian approach.