Name
Abstract | ||
|---|---|---|
We present a novel registration-based image interpolation approach in this paper. The proposed method is divided into two steps: image registration and intensity interpolation. An image registration method is developed to construct a corresponding transformation, which is represented by the bicubic B-spline vector-valued function, between the given images so that the image features are well matched. To match features from coarse to fine, a multi-resolution strategy is applied with different numbers of B-spline control points adopted at various resolution levels. After registration, the intensity values of in-between images are calculated by linear/cubic interpolation along the matching lines. Experimental results demonstrate that our interpolation approach is effective, robust, and capable of producing continuously deformed in-between images with clear shape features. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.camwa.2013.04.026 | Computers & Mathematics with Applications |
Keywords | Field | DocType |
Image interpolation,Registration-based interpolation,L2-gradient flow,Multi-resolution transformation,Shape feature preservation | Computer vision,Nearest-neighbor interpolation,Mathematical optimization,Spline interpolation,Interpolation,Bicubic interpolation,Stairstep interpolation,Demosaicing,Artificial intelligence,Trilinear interpolation,Mathematics,Bilinear interpolation | Journal |
Volume | Issue | ISSN |
66 | 1 | 0898-1221 |
Citations | PageRank | References |
8 | 0.62 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juelin Leng | 1 | 15 | 1.84 |
| Guoliang Xu | 2 | 225 | 21.21 |
| Yongjie Zhang | 3 | 293 | 34.45 |