Name
Abstract | ||
|---|---|---|
We present novel algorithms to suppress impulsive noise in video color sequences. They use order statistics, directional and adaptive processing techniques. Extensive simulation results in known reference video color sequences have demonstrated that the proposed filters consistently outperform other filters by balancing the tradeoff between noise suppression, detail preservation, and chromaticity characteristics. The criteria used to compare the performance or various filters were the PSNR, MAE, and NCD. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11892755_49 | CIARP |
Keywords | Field | DocType |
impulse noise,order statistic | Computer vision,Euclidean vector,Colors of noise,Noise suppression,Pattern recognition,Computer science,Adaptive method,Image processing,Chromaticity,Artificial intelligence,Order statistic,Color image | Conference |
Volume | ISSN | ISBN |
4225 | 0302-9743 | 3-540-46556-1 |
Citations | PageRank | References |
0 | 0.34 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Volodymyr I. Ponomaryov | 1 | 124 | 18.38 |
| Francisco J. Gallegos Funes | 2 | 63 | 10.29 |
| Alberto Rosales-Silva | 3 | 48 | 6.77 |
| Igor Loboda | 4 | 15 | 1.53 |