Mixed l(0)/l(1) Norm Minimization Approach to Image Colorization
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 l(0)/l(1) norm minimization, and an iterative reweighted least squares (IRLS) algorithm is proposed. Numerical examples show that the proposed algorithm colorizes the grayscale image efficiently.
image colorization sparse optimization image restoration matrix completion