Name
Abstract | ||
|---|---|---|
Color transfer methods usually suffer from spatial color coherency problem. In order to address this problem, this paper develops a fused color transfer method for image colorization. Our idea is to design a local student’s t-test to screen the incoherent colors in the preliminary colorization results obtained by a simple color transfer method with DFT and variance features. Furthermore, we propose a variational fusion model to inpaint these incoherent colors and fuse the other useful colors together. We also present an efficient algorithm for solving the fusion model numerically, and show the convergence of the algorithm. Finally, experimental results are reported to demonstrate the effectiveness of the proposed method, and its performance is competitive with those of the other testing methods. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.camwa.2018.12.033 | Computers & Mathematics with Applications |
Keywords | Field | DocType |
Image colorization,Variational fusion model,Non-local,Student’s t-test,ADMM | Convergence (routing),Mathematical optimization,Image colorization,Fusion,Algorithm,Fuse (electrical),Mathematics | Journal |
Volume | Issue | ISSN |
77 | 9 | 0898-1221 |
Citations | PageRank | References |
0 | 0.34 | 15 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhengmeng Jin | 1 | 3 | 1.08 |
| Lihua Min | 2 | 0 | 0.68 |
| Ng Michael | 3 | 4231 | 311.70 |
| Minling Zheng | 4 | 0 | 0.34 |