Mixed l_0/l_1 Norm Minimization Approach to Image Colorization

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概要

• 論文の詳細を見る

• This letter proposes a new image colorization algorithm based on the sparse optimization. Introducing some assumptions, a problem of recovering a color image from a grayscale image with the small number of known color pixels is formulated as a mixed l0/l1 norm minimization, and an iterative reweighted least squares (IRLS) algorithm is proposed. Numerical examples show that the proposed algorithm colorizes the grayscale image efficiently.

• The Institute of Electronics, Information and Communication Engineersの論文
• 2012-08-01

著者

• FURUKAWA Toshihiro

  the Department of Management Engineering, Tokyo University of Science

• TAKAHASHI Tomohiro

  the Department of Management Engineering, Tokyo University of Science

• KONISHI Katsumi

  the Department of Computer Science, Kogakuin University

• URUMA Kazunori

  the Department of Management Engineering, Tokyo University of Science

関連論文

• Mixed l_0/l_1 Norm Minimization Approach to Image Colorization

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