A Variational Approach for Image Decolorization by Variance Maximization

A Variational Approach for Image Decolorization by Variance Maximization
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方差最大化图像去色的变分方法

DOI:
10.1137/130935197
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发表时间:
2014-05
影响因子:
2.1
通讯作者:
Ng, Michael K.
Ng, Michael K.
中科院分区:
数学4区
文献类型:
--
作者:
Jin, Zhengmeng;Li, Fang;Ng, Michael K.

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Color-to-grayscale conversion is the process used to convert a color image to a grayscale one, which is a basic tool in digital printing, photograph rendering, and single-channel image processing. The main aim of this paper is to propose a variational approach for image decolorization by variance maximization. Our idea is to use an energy functional to determine local transformations for combining red, green, and blue channel pixel values together by maximizing the local variance of the output grayscale image and preserving the brightness of the input color image. In order to minimize the differences among the local transformations at nearby pixel locations, the total variation regularization of the transformation is incorporated into the functional for the decolorization process. The existence and uniqueness of the minimizer of the variational model can be shown. We also present an effective algorithm for solving the variational model numerically, and show the convergence of the algorithm. Experimental r...
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发表时间: 2012-11
期刊: SIGGRAPH Asia 2012 Technical Briefs
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