| Autor: | Abdessamad Ben Hamza, Ramón Román-Roldán, Pedro L. Luque-Escamilla, José Martínez-Aroza |
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| Rok vydání: | 1999 |
| Předmět: |
Statistics and Probability
Mathematical optimization Pixel Applied Mathematics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Salt-and-pepper noise Astrophysics::Cosmology and Extragalactic Astrophysics Filter (signal processing) Condensed Matter Physics Adaptive filter Noise Filter design Modeling and Simulation Median filter Geometry and Topology Computer Vision and Pattern Recognition Algorithm Root-raised-cosine filter Mathematics |
| Zdroj: | Journal of Mathematical Imaging and Vision. 11:161-177 |
| ISSN: | 0924-9907 |
| Popis: | In this paper, a median based filter called relaxed median filter is proposed. The filter is obtained by relaxing the order statistic for pixel substitution. Noise attenuation properties as well as edge and line preservation are analyzed statistically. The trade-off between noise elimination and detail preservation is widely analyzed. It is shown that relaxed median filters preserve details better than the standard median filter, and remove noise better than other median type filters. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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