Name
Abstract | ||
|---|---|---|
Non linear filtering techniques are presented to suppress impulsive noise and preserve fine image details. Directional processing, a non parametric approach and order statistics filters have been investigated. The previously presented novel algorithm MM-KNN (median M-type k-nearest neighbor) (Gallegos-Funes, F.J. et al., Elec. Lett., vol.38, no.15, p.786-7, 2002) is adapted to color imaging. Different criteria, such as impulsive noise suppression, edge and detail preservation, have been used to characterize the performance of color imaging. The analyzed algorithms have been implemented on a Texas Instruments DSP to obtain the values of processing time when different intensity noise corrupts the color image. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1109/ICECC.2004.1269589 | CONIELECOMP |
Keywords | Field | DocType |
impulse noise,nonparametric statistics,statistical analysis,order statistic,color image,k nearest neighbor | Computer vision,Digital signal processing,Nonlinear system,Computer science,Filter (signal processing),Nonparametric statistics,Artificial intelligence,Impulse noise,Order statistic,Color imaging,Color image | Conference |
ISSN | ISBN | Citations |
2474-9036 | 0-7695-2074-X | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Rosales-Silva | 1 | 48 | 6.77 |
| Volodymyr I. Ponomaryov | 2 | 124 | 18.38 |