DSP Implementation of RM-filters for Impulsiv Noise Suppression in Color Images
We propose the vector rank M-type K-nearest neighbor(VRMKNN) filters to noise suppression and detailpreservation in color image restoration. The proposedVRMKNN filters are based on the combined RM-estimatorswith different influence functions, and the KNN algorithm.Therefore, we designed the adaptive...
| Autores: | , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2006 |
| País: | México |
| Institución: | Instituto Politécnico Nacional |
| Repositorio: | Redalyc-IPN |
| OAI Identifier: | oai:redalyc.org:61410104 |
| Acceso en línea: | https://www.redalyc.org/articulo.oa?id=61410104 |
| Access Level: | acceso abierto |
| Palabra clave: | Ingeniería RM estimators multichannel filters |
| Sumario: | We propose the vector rank M-type K-nearest neighbor(VRMKNN) filters to noise suppression and detailpreservation in color image restoration. The proposedVRMKNN filters are based on the combined RM-estimatorswith different influence functions, and the KNN algorithm.Therefore, we designed the adaptive multichannel nonparametric VRMKNN (AMN-VRMKNN) that uses an adaptivenon parametric approach to determine the functional form ofthe density probability of noise into the sliding filteringwindow to improve the performance of the VRMKNN filters.Numerous simulations illustrate that the proposed filtersexhibit robust and adaptive capability in multichannelimaging applications. Finally, we present the implementationof proposed filters on the DSP TMS320C6711 demonstratingthat they can potentially provide a real-time solution toquality video transmission. |
|---|