Name
Abstract | ||
|---|---|---|
There are various methods for the resolution conversion of a digital image. However, these methods have problems of edge blur and jaggy noise. The resolution conversion by adaptive interpolation kernels was proposed to solve these problems. However, jaggy noise and edge blur still arise, because the parameters that determine the shape of interpolation kernels are empirically set. In this work, we obtain the optimal parameters for interpolation kernel adaptation using Particle Swarm Optimization. The results show our approach is promising for high quality resolution conversion. |
Year | Venue | Keywords |
|---|---|---|
2006 | SPPRA | particle swarm optimization,adaptive interpolation kernel,edge blur,digital image,optimal parameter,interpolation kernel adaptation,optimized adaptation,resolution conversion,image resolution conversion,high quality resolution conversion,jaggy noise,interpolation kernel,image resolution |
Field | DocType | ISBN |
Particle swarm optimization,Computer vision,Nearest-neighbor interpolation,Multivariate interpolation,Computer science,Interpolation,Stairstep interpolation,Digital image,Artificial intelligence,Image resolution,Bilinear interpolation | Conference | 0-88986-580-9 |
Citations | PageRank | References |
2 | 0.47 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Atsushi Fujii | 1 | 486 | 59.25 |
| Keisuke Kameyama | 2 | 103 | 18.29 |
| Tetsuo Kamina | 3 | 170 | 15.50 |
| Yasuhiro Ohmiya | 4 | 2 | 0.81 |
| Kazuo Toraichi | 5 | 93 | 21.62 |