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Mixed l0/l1 Norm Minimization Approach to Image Colorization Kazunori URUMA Katsumi KONISHI Tomohiro TAKAHASHI Toshihiro FURUKAWA Publication IEICE TRANSACTIONS on Information and Systems Vol.E95-D No.8 pp.2150-2153 Publication Date: 2012/08/01 Online ISSN: 1745-1361 DOI: 10.1587/transinf.E95.D.2150 Print ISSN: 0916-8532 Type of Manuscript: LETTER Category: Image Processing and Video Processing Keyword: image colorization, image restoration, sparse optimization, matrix completion, Full Text: PDF(561.9KB)>>
Summary: 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. | ||||||||||
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