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Mixed l0/l1 Norm Minimization Approach to Image Colorization
Kazunori URUMA Katsumi KONISHI Tomohiro TAKAHASHI Toshihiro FURUKAWA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2012/08/01
Online ISSN: 1745-1361
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
image colorization, image restoration, sparse optimization, matrix completion,
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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.