Name
Abstract | ||
|---|---|---|
In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first- and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity1. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TCE.2016.7514715 | IEEE Trans. Consumer Electronics |
Keywords | Field | DocType |
Interpolation,Image edge detection,Taylor series,Convolution,Electrical engineering,Electronic mail,Real-time systems | Nearest-neighbor interpolation,Computer vision,Computer science,Interpolation,Bicubic interpolation,Stairstep interpolation,Algorithm,Demosaicing,Artificial intelligence,Trilinear interpolation,Image scaling,Bilinear interpolation | Journal |
Volume | Issue | ISSN |
62 | 2 | 0098-3063 |
Citations | PageRank | References |
7 | 0.49 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| seungjun lee | 1 | 10 | 1.90 |
| muncheon kang | 2 | 26 | 6.79 |
| Kwang-Hyun Uhm | 3 | 7 | 2.52 |
| Sung-Jea Ko | 4 | 1051 | 114.34 |