Name
Abstract | ||
|---|---|---|
In this paper, we introduce a novel model that restores a color image from a grayscale image with color values given in small regions. The model is based on the idea of the generalization of the low dimensional manifold model (Shi et al. in J Sci Comput, 2017. https://doi.org/10.1007/s10915-017-0549-x) and the YCbCr color space. It involves two prior terms, a weighted nonlocal Laplacian (WNLL) and a weighted total variation (WTV). The WNLL allows regions without color information to be interpolated smoothly from given sparse color data, while the WTV assists to inhibit the diffusion of color values across edges. To cope with various types of sampled data, we introduce an updating rule for the weight function in the WNLL. Furthermore, we present an efficient iterative algorithm for solving the proposed model. Lastly, numerical experiments validate the superior performance of the proposed model over that of the other state-of-the-art models. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s10915-018-0732-8 | J. Sci. Comput. |
Keywords | Field | DocType |
Image colorization, Low dimensional manifold, Weighted nonlocal Laplacian, Weighted total variation, Nonlocal methods | Weight function,Image colorization,Mathematical analysis,Iterative method,Interpolation,Algorithm,Grayscale,Manifold,Mathematics,Laplace operator,Color image | Journal |
Volume | Issue | ISSN |
77 | 2 | 0885-7474 |
Citations | PageRank | References |
0 | 0.34 | 25 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Myeongmin Kang | 1 | 29 | 4.54 |
| Myungjoo Kang | 2 | 332 | 52.48 |
| Miyoun Jung | 3 | 125 | 10.72 |