Order Statistics Filters in Wavelet Domain for Color Image Processing

In this paper we present different order statistics filters in the Wavelet domain for noise suppression in color image processing. All proposed filters are defined as two filters in the wavelet domain: the first filter is based on redundancy of approaches and the second one is the wavelet domain ite...

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Bibliographische Detailangaben
Hauptverfasser:	Gallegos-Funes, Francisco Javier, Martínez-Valdes, Jesús, De-la-Rosa-Vázquez, José Manuel
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Color Filtering Image denoising Image processing Image restoration Noise robustness Nonlinear filters Order statistics filters Statistics Wavelet domain
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Beschreibung
Zusammenfassung:	In this paper we present different order statistics filters in the Wavelet domain for noise suppression in color image processing. All proposed filters are defined as two filters in the wavelet domain: the first filter is based on redundancy of approaches and the second one is the wavelet domain iterative center weighted median algorithm. With this structure different implementations for the estimation of the noisy sample are already carried out using different order statistics algorithms.
DOI:	10.1109/MICAI.2007.20